Main Page

Table of Contents

Author Index

Table of Contents

AAMAS'23 Chairs Welcome

Conference Organization

Area Chairs

Senior Programme Committee

Programme Committee

Auxiliary Reviewers

Special Track Reviewers 

Awards

Sponsors & Supporters

 

Keynote Talks

 

Session 1A: Multiagent Reinforcement Learning I

Session 4A: Reinforcement and Imitation Learning

Session 1B: Planning

Session 4B: Multi-Armed Bandits + Monte Carlo Tree Search

Session 1C: Fair Allocations

Session 4C: Auctions + Voting

Session 1D: Equilibria and Complexities of Games

Session 4E: Robotics

Session 1E: Human-Agent Teams

Session 4F: Innovative Applications

Session 1F: Knowledge Representation and Reasoning I

Session 5A: Multiagent Reinforcement Learning III

Session 2A: Multiagent Reinforcement Learning II

Session 5B: Graph Neural Networks + Transformers

Session 2B: Planning + Task/Resource Allocation

Session 5C: Voting I

Session 2C: Fair Allocations + Public Goods Games

Session 5D: Blue Sky

Session 2D: Behavioral and Algorithmic Game Theory

Session 5E: Adversarial Learning + Social Networks + Causal Graphs

Session 2E: Humans and AI Agents

Session 5F: Simulations

Session 2F: Knowledge Representation and Reasoning II

Session 6A: Deep Learning

Session 3A: Reinforcement Learning

Session 6B: Multi-objective Planning and Learning

Session 3B: Multiagent Path Finding

Session 6C: Voting II

Session 3C: Matching

Session 6D: Mechanism Design

Session 3D: Learning in Games

Session 6E: Social Networks

Session 3E: Learning with Humans and Robots

Session 6F: Norms

Session 3F: Engineering Multiagent Systems

 

Poster Session I

Doctoral Consortium

Poster Session II

Demonstrations

Poster Session III

 

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Keynote Talks

Multiagent Learning: From Fundamentals to Foundation Models (Page 1)
Karl Tuyls (DeepMind)

Common Sense: The Dark Matter of Language and Intelligence (Page 2)
Yejin Choi (University of Washington & Allen Institute for Artificial Intelligence)

Geometric Principles of Individual and Collective Decision-Making (Page 3)
Iain Couzin (University of Konstanz)

Proportionality in Multiwinner Voting: The Power of Local Search (Page 4)
Edith Elkind (University of Oxford & Alan Turing Institute)

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Session 1A: Multiagent Reinforcement Learning I

Trust Region Bounds for Decentralized PPO Under Non-stationarity (Page 5)
Mingfei Sun (University of Manchester)
Sam Devlin (Microsoft Research)
Jacob Beck (University of Oxford)
Katja Hofmann (Microsoft Research)
Shimon Whiteson (University of Oxford)

Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement (Page 14)
Jiachen Yang (LLNL)
Ketan Mittal (LLNL)
Tarik Dzanic (Texas A&M University)
Socratis Petrides (LLNL)
Brendan Keith (Brown University)
Brenden Petersen (LLNL)
Daniel Faissol (LLNL)
Robert Anderson (LLNL)

Adaptive Learning Rates for Multi-Agent Reinforcement Learning (Page 23)
Jiechuan Jiang (Peking University)
Zongqing Lu (Peking University)

Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning (Page 31)
Shanqi Liu (Zhejiang University)
Yujing Hu (NetEase Fuxi AI Lab)
Runze Wu (NetEase Fuxi AI Lab)
Dong Xing (Zhejiang University)
Yu Xiong (NetEase Fuxi AI Lab)
Changjie Fan (NetEase Fuxi AI Lab)
Kun Kuang (Zhejiang University)
Yong Liu (Zhejiang University)

A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning (Page 40)
Woojun Kim (KAIST)
Whiyoung Jung (KAIST)
Myungsik Cho (KAIST)
Youngchul Sung (KAIST)

Mediated Multi-Agent Reinforcement Learning (Page 49)
Dmitry Ivanov (HSE University)
Ilya Zisman (HSE University)
Kirill Chernyshev (HSE University)

EXPODE: EXploiting POlicy Discrepancy for Efficient Exploration in Multi-agent Reinforcement Learning (Page 58)
Yucong Zhang (Sun Yat-Sen University)
Chao Yu (Sun Yat-Sen University)

TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play (Page 67)
Fanqi Lin (Tsinghua Univerisity)
Shiyu Huang (4Paradigm Inc.)
Tim Pearce (Microsoft Research)
Wenze Chen (Tsinghua Univerisity)
Wei-Wei Tu (4Paradigm Inc.)

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Session 1B: Planning

Ask and You Shall be Served: Representing & Solving Multi-agent Optimization Problems with Service Requesters and Providers (Page 77)
Maya Lavie (Ben Gurion University of the Negev)
Tehila Caspi (Ben Gurion University of the Negev)
Omer Lev (Ben Gurion University of the Negev)
Roie Zivan (Ben Gurion University of the Negev)

Fairness Driven Efficient Algorithms for Sequenced Group Trip Planning Query Problem (Page 86)
Napendra Solanki (Indian Institute of Technology Ropar)
Shweta Jain (Indian Institute of Technology Ropar)
Suman Banerjee (Indian Institute of Technology Jammu)
Yayathi Pavan Kumar S (Indian Institute of Technology Ropar)

Domain-Independent Deceptive Planning (Page 95)
Adrian Price (Monash University)
Ramon Fraga Pereira (University of Manchester)
Peta Masters (King's College London)
Mor Vered (Monash University)

CAMS: Collision Avoiding Max-Sum for Mobile Sensor Teams (Page 104)
Arseni Pertzovskiy (Ben-Gurion University of the Negev)
Roie Zivan (Ben-Gurion University of the Negev)
Noa Agmon (Bar-Ilan University)

Risk-Constrained Planning for Multi-Agent Systems with Shared Resources (Page 113)
Anna Gautier (University of Oxford)
Marc Rigter (University of Oxford)
Bruno Lacerda (University of Oxford)
Nick Hawes (University of Oxford)
Michael Wooldridge (University of Oxford)

Quantitative Planning with Action Deception in Concurrent Stochastic Games (Page 122)
Chongyang Shi (University of Florida)
Shuo Han (University of Illinois Chicago)
Jie Fu (University of Florida)

Towards Computationally Efficient Responsibility Attribution in Decentralized Partially Observable MDPs (Page 131)
Stelios Triantafyllou (Max Planck Institute for Software Systems)
Goran Radanovic (Max Planck Institute for Software Systems)

On-line Estimators for Ad-hoc Task Execution: Learning Types and Parameters of Teammates for Effective Teamwork (Page 140)
Matheus Ap. do Carmo Alves (Lancaster University)
Elnaz Shafipour Yourdshahi (University of Surrey)
Amokh Varma (Indian Institute of Technology)
Leandro Soriano Marcolino (Lancaster University)
Jó Ueyama (University of São Paulo)
Plamen Angelov (Lancaster University)

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Session 1C: Fair Allocations

Fair Allocation of Two Types of Chores (Page 143)
Haris Aziz (UNSW Sydney)
Jeremy Lindsay (UNSW Sydney)
Angus Ritossa (UNSW Sydney)
Mashbat Suzuki (UNSW Sydney)

Fairly Dividing Mixtures of Goods and Chores under Lexicographic Preferences (Page 152)
Hadi Hosseini (Pennsylvania State University)
Sujoy Sikdar (Binghamton University)
Rohit Vaish (Indian Institute of Technology Delhi)
Lirong Xia (Rensselaer Polytechnic Institute)

Graphical House Allocation (Page 161)
Hadi Hosseini (Penn State University)
Justin Payan (University of Massachusetts, Amherst)
Rik Sengupta (University of Massachusetts, Amherst)
Rohit Vaish (IIT Delhi)
Vignesh Viswanathan (University of Massachusetts, Amherst)

Approximation Algorithm for Computing Budget-Feasible EF1 Allocations (Page 170)
Jiarui Gan (University of Oxford)
Bo Li (Hong Kong Polytechnic University)
Xiaowei Wu (University of Macau)

Yankee Swap: A Fast and Simple Fair Allocation Mechanism for Matroid Rank Valuations (Page 179)
Vignesh Viswanathan (University of Massachusetts, Amherst)
Yair Zick (University of Massachusetts, Amherst)

Fairness in the Assignment Problem with Uncertain Priorities (Page 188)
Zeyu Shen (Duke University)
Zhiyi Wang (Duke University)
Xingyu Zhu (Duke University)
Brandon Fain (Duke University)
Kamesh Munagala (Duke University)

Possible Fairness for Allocating Indivisible Resources (Page 197)
Haris Aziz (UNSW Sydney)
Bo Li (The Hong Kong Polytechnic University)
Shiji Xing (The Hong Kong Polytechnic University)
Yu Zhou (The Hong Kong Polytechnic University)

Efficient Nearly-Fair Division with Capacity Constraints (Page 206)
Hila Shoshan (Ariel University)
Noam Hazon (Ariel University)
Erel Segal-Halevi (Ariel University)

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Session 1D: Equilibria and Complexities of Games

Equilibria and Convergence in Fire Sale Games (Page 215)
Nils Bertschinger (Frankfurt Institute for Advanced Studies)
Martin Hoefer (Goethe University Frankfurt)
Simon Krogmann (Hasso Plattner Institute)
Pascal Lenzner (Hasso Plattner Institute)
Steffen Schuldenzucker (Goethe University Frankfurt)
Lisa Wilhelmi (Goethe University Frankfurt)

Bridging the Gap Between Single and Multi Objective Games (Page 224)
Willem Röpke (Vrije Universiteit Brussel)
Carla Groenland (Universiteit Utrecht)
Roxana Rădulescu (Vrije Universiteit Brussel)
Ann Nowé (Vrije Universiteit Brussel)
Diederik M. Roijers (Vrije Universiteit Brussel)

Is Nash Equilibrium Approximator Learnable? (Page 233)
Zhijian Duan (Peking University)
Wenhan Huang (Shanghai Jiao Tong University)
Dinghuai Zhang (Mila - Quebec AI Institute)
Yali Du (King's College London)
Jun Wang (University College London)
Yaodong Yang (Peking University)
Xiaotie Deng (Peking University)

Learning the Stackelberg Equilibrium in a Newsvendor Game (Page 242)
Nicolò Cesa-Bianchi (Università degli Studi di Milano & Politecnico di Milano)
Tommaso Cesari (University of Ottawa)
Takayuki Osogami (IBM Research - Tokyo)
Marco Scarsini (Luiss University)
Segev Wasserkrug (IBM Research - Israel)

Hedonic Games With Friends, Enemies, and Neutrals: Resolving Open Questions and Fine-Grained Complexity (Page 251)
Jiehua Chen (TU Wien)
Gergely Csáji (TU Wien)
Sanjukta Roy (The Pennsylvania State University)
Sofia Simola (TU Wien)

Debt Transfers in Financial Networks: Complexity and Equilibria (Page 260)
Panagiotis Kanellopoulos (University of Essex)
Maria Kyropoulou (University of Essex)
Hao Zhou (University of Essex)

A Study of Nash Equilibria in Multi-Objective Normal-Form Games (Page 269)
Willem Röpke (Vrije Universiteit Brussel)
Diederik M. Roijers (Vrije Universiteit Brussel)
Ann Nowé (Vrije Universiteit Brussel)
Roxana Rădulescu (Vrije Universiteit Brussel)

Learning Properties in Simulation-Based Games (Page 272)
Cyrus Cousins (UMass Amherst)
Bhaskar Mishra (University of Florida)
Enrique Areyan Viqueira (enriqueareyan.com)
Amy Greenwald (Brown University)

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Session 1E: Human-Agent Teams

Establishing Shared Query Understanding in an Open Multi-Agent System (Page 281)
Nikolaos Kondylidis (Vrije Universiteit Amsterdam)
Ilaria Tiddi (Vrije Universiteit Amsterdam)
Annette ten Teije (Vrije Universiteit Amsterdam)

Communicating Agent Intentions for Human-Agent Decision Making under Uncertainty (Page 290)
Julie Porteous (RMIT University)
Alan Lindsay (Heriot-Watt University)
Fred Charles (Bournemouth University)

Trusting Artificial Agents: Communication Trumps Performance (Page 299)
Marin Le Guillou (ONERA)
Laurent Prévot (Aix Marseille Univ, CNRS, LPL)
Bruno Berberian (ONERA)

Nonverbal Human Signals Can Help Autonomous Agents Infer Human Preferences for Their Behavior (Page 307)
Kate Candon (Yale University)
Jesse Chen (Yale University)
Yoony Kim (Yale University)
Zoe Hsu (Yale University)
Nathan Tsoi (Yale University)
Marynel Vázquez (Yale University)

On Subset Selection of Multiple Humans To Improve Human-AI Team Accuracy (Page 317)
Sagalpreet Singh (Indian Institute of Technology Ropar)
Shweta Jain (Indian Institute of Technology Ropar)
Shashi Shekhar Jha (Indian Institute of Technology Ropar)

Do Explanations Improve the Quality of AI-assisted Human Decisions? An Algorithm-in-the-Loop Analysis of Factual & Counterfactual Explanations (Page 326)
Lujain Ibrahim (New York University Abu Dhabi)
Mohammad M. Ghassemi (Michigan State University)
Tuka Alhanai (New York University Abu Dhabi)

Automated Task-Time Interventions to Improve Teamwork using Imitation Learning (Page 335)
Sangwon Seo (Rice University)
Bing Han (Rice University)
Vaibhav Unhelkar (Rice University)

Should My Agent Lie for Me? A Study on Attitudes of US-basedParticipants Towards Deceptive AI in Selected Future-of-work (Page 345)
StefanXXX Sarkadi (King's College London)
Peidong Mei (University of Exeter)
Edmond Awad (University of Exeter)

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Session 1F: Knowledge Representation and Reasoning I

A Logic of Only-Believing over Arbitrary Probability Distributions (Page 355)
Qihui Feng (RWTH-Aachen University)
Daxin Liu (The University of Edinburgh)
Vaishak Belle (The University of Edinburgh)
Gerhard Lakemeyer (RWTH-Aachen University)

A Deontic Logic of Knowingly Complying (Page 364)
Carlos Areces (UNC & CONICET)
Valentin Cassano (UNC, UNRC & CONICET)
Pablo F. Castro (UNRC & CONICET)
Raul Fervari (UNC & CONICET)
Andrés R. Saravia (UNC & CONICET)

Learning Logic Specifications for Soft Policy Guidance in POMCP (Page 373)
Giulio Mazzi (University of Verona)
Daniele Meli (University of Verona)
Alberto Castellini (University of Verona)
Alessandro Farinelli (University of Verona)

Strategic (Timed) Computation Tree Logic (Page 382)
Jaime Arias (Université Sorbonne Paris Nord)
Wojciech Jamroga (Institute of Computer Science, Polish Academy of Sciences & University of Luxembourg)
Wojciech Penczek (Institute of Computer Science, Polish Academy of Sciences)
Laure Petrucci (Université Sorbonne Paris Nord)
Teofil Sidoruk (Warsaw University of Technology)

Attention! Dynamic Epistemic Logic Models of (In)attentive Agents (Page 391)
Gaia Belardinelli (University of Copenhagen)
Thomas Bolander (Technical University of Denmark)

(Arbitrary) Partial Communication (Page 400)
Rustam Galimullin (University of Bergen)
Fernando R. Velázquez-Quesada (University of Bergen)

Epistemic Abstract Argumentation Framework: Formal Foundations, Computation and Complexity (Page 409)
Gianvincenzo Alfano (University of Calabria)
Sergio Greco (University of Calabria)
Francesco Parisi (University of Calabria)
Irina Trubitsyna (University of Calabria)

Actions, Continuous Distributions and Meta-Beliefs (Page 418)
Vaishak Belle (University of Edinburgh & Alan Turing Institute)

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Session 2A: Multiagent Reinforcement Learning II

AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning (Page 427)
Xuefeng Wang (The Hong Kong University of Science and Technology)
Xinran Li (The Hong Kong University of Science and Technology)
Jiawei Shao (The Hong Kong University of Science and Technology)
Jun Zhang (The Hong Kong University of Science and Technology)

Learning Structured Communication for Multi-Agent Reinforcement Learning (Page 436)
Junjie Sheng (East China Normal University)
Xiangfeng Wang (East China Normal University)
Bo Jin (Tongji University)
Wenhao Li (The Chinese University of Hong Kong, Shenzhen)
Jun Wang (East China Normal University)
Junchi Yan (Shanghai Jiao Tong University)
Tsung-Hui Chang (The Chinese University of Hong Kong, Shenzhen)
Hongyuan Zha (The Chinese University of Hong Kong, Shenzhen & Shenzhen Institute of AI and Robotics for Society)

Model-based Sparse Communication in Multi-agent Reinforcement Learning (Page 439)
Shuai Han (Utrecht University)
Mehdi Dastani (Utrecht University)
Shihan Wang (Utrecht University)

Get It in Writing: Formal Contracts Mitigate Social Dilemmas in Multi-Agent RL (Page 448)
Phillip J.K. Christoffersen (Massachusetts Institute of Technology)
Andreas A. Haupt (Massachusetts Institute of Technology)
Dylan Hadfield-Menell (Massachusetts Institute of Technology)

The Benefits of Power Regularization in Cooperative Reinforcement Learning (Page 457)
Michelle Li (Massachusetts Institute of Technology)
Michael Dennis (University of California, Berkeley)

MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization (Page 466)
Yongsheng Mei (The George Washington University)
Hanhan Zhou (The George Washington University)
Tian Lan (The George Washington University)
Guru Venkataramani (The George Washington University)
Peng Wei (The George Washington University)

Self-Motivated Multi-Agent Exploration (Page 476)
Shaowei Zhang (Nanjing University)
Jiahan Cao (Nanjing University)
Lei Yuan (Nanjing University & Polixir Technologies)
Yang Yu (Nanjing University & Polixir Technologies)
De-Chuan Zhan (Nanjing University & Polixir Technologies)

Sequential Cooperative Multi-Agent Reinforcement Learning (Page 485)
Yifan Zang (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences)
Jinmin He (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences)
Kai Li (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences)
Haobo Fu (Tencent AI Lab)
Qiang Fu (Tencent AI Lab)
Junliang Xing (Tsinghua University)

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Session 2B: Planning + Task/Resource Allocation

Online Coalitional Skill Formation (Page 494)
Saar Cohen (Bar-Ilan University)
Noa Agmon (Bar-Ilan University)

Multi-Agent Consensus-based Bundle Allocation for Multi-mode Composite Tasks (Page 504)
Gauthier Picard (ONERA/DTIS, Université de Toulouse)

Allocation Problem in Remote Teleoperation: Online Matching with Offline Reusable Resources and Delayed Assignments (Page 513)
Osnat Ackerman Viden (Bar-Ilan University)
Yohai Trabelsi (Bar-Ilan University)
Pan Xu (New Jersey Institute of Technology)
Karthik Abinav Sankararaman (Meta)
Oleg Maksimov (Bar-Ilan University)
Sarit Kraus (Bar-Ilan University)

Optimal Coalition Structures for Probabilistically Monotone Partition Function Games (Page 522)
Shaheen Fatima (Loughborough University)
Michael Wooldridge (Oxford University)

A Comparison of New Swarm Task Allocation Algorithms in Unknown Environments with Varying Task Density (Page 525)
Grace Cai (Massachusetts Institute of Technology)
Noble Harasha (Massachusetts Institute of Technology)
Nancy Lynch (Massachusetts Institute of Technology)

Abstracting Noisy Robot Programs (Page 534)
Till Hofmann (RWTH Aachen University)
Vaishak Belle (The University of Edinburgh)

Structural Credit Assignment-Guided Coordinated MCTS: An Efficient and Scalable Method for Online Multiagent Planning (Page 543)
Qian Che (Southeast University)
Wanyuan Wang (Southeast University)
Fengchen Wang (Southeast University)
Tianchi Qiao (Southeast University)
Xiang Liu (Southeast University)
Jiuchuan Jiang (Nanjing University of Finance and Economics)
Bo An (Nanyang Technological University)
Yichuan Jiang (Southeast University)

Strategic Planning for Flexible Agent Availability in Large Taxi Fleets (Page 552)
Rajiv Ranjan Kumar (Singapore Management University)
Pradeep Varakantham (Singapore Management University)
Shih-Fen Cheng (Singapore Management University)

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Session 2C: Fair Allocations + Public Goods Games

Equitability and Welfare Maximization for Allocating Indivisible Items (Page 561)
Ankang Sun (University of Warwick)
Bo Chen (University of Warwick)
Xuan Vinh Doan (University of Warwick)

Best of Both Worlds: Agents with Entitlements (Page 564)
Martin Hoefer (Goethe University)
Marco Schmalhofer (Goethe University)
Giovanna Varricchio (Goethe University)

Mitigating Skewed Bidding for Conference Paper Assignment (Page 573)
Inbal Rozenzweig (Technion - Israel Institute of Technology)
Reshef Meir (Technion - Israel Institute of Technology)
Nicholas Mattei (Tulane)
Ofra Amir (Technion - Israel Institute of Technology)

Price of Anarchy in a Double-Sided Critical Distribution System (Page 582)
David Sychrovský (Charles University)
Jakub Černý (Nanyang Technological University)
Sylvain Lichau (University of Bordeaux)
Martin Loebl (Charles University)

Improved EFX Approximation Guarantees under Ordinal-based Assumptions (Page 591)
Evangelos Markakis (Athens University of Economics and Business and Input Output Global (IOG))
Christodoulos Santorinaios (Athens University of Economics and Business and Archimedes Research Unit)

Assigning Agents to Increase Network-Based Neighborhood Diversity (Page 600)
Zirou Qiu (University of Virginia)
Andrew Yuan (University of Virginia)
Chen Chen (University of Virginia)
Madhav V. Marathe (University of Virginia)
S.S. Ravi (University of Virginia & University at Albany - SUNY)
Daniel J. Rosenkrantz (University of Virginia & University at Albany - SUNY)
Richard E. Stearns (University of Virginia & University at Albany - SUNY)
Anil Vullikanti (University of Virginia)

Altruism, Collectivism and Egalitarianism: On a Variety of Prosocial Behaviors in Binary Networked Public Goods Games (Page 609)
Jichen Li (Peking University)
Xiaotie Deng (Peking University)
Yukun Cheng (Suzhou University of Science and Technology)
Yuqi Pan (Peking University)
Xuanzhi Xia (Peking University)
Zongjun Yang (Peking University)
Jan Xie (Cryptape)

The Role of Space, Density and Migration in Social Dilemmas (Page 625)
Jacques Bara (University of Warwick)
Fernando P. Santos (University of Amsterdam)
Paolo Turrini (University of Warwick)

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Session 2D: Behavioral and Algorithmic Game Theory

Non-strategic Econometrics (for Initial Play) (Page 634)
Daniel Chui (University of Alberta & Amii)
Jason Hartline (Northwestern University)
James R. Wright (University of Alberta & Amii)

Efficient Stackelberg Strategies for Finitely Repeated Games (Page 643)
Natalie Collina (University of Pennsylvania)
Eshwar Ram Arunachaleswaran (University of Pennsylvania)
Michael Kearns (University of Pennsylvania)

Learning Density-Based Correlated Equilibria for Markov Games (Page 652)
Libo Zhang (University of Electronic Science and Technology of China & University of Auckland)
Yang Chen (University of Auckland)
Toru Takisaka (University of Electronic Science and Technology of China)
Bakh Khoussainov (University of Electronic Science and Technology of China)
Michael Witbrock (University of Auckland)
Jiamou Liu (University of Auckland)

IRS: An Incentive-compatible Reward Scheme for Algorand (Page 661)
Maizi Liao (University of Waterloo)
Wojciech Golab (University of Waterloo)
Seyed Majid Zahedi (University of Waterloo)

Data Structures for Deviation Payoffs (Page 670)
Bryce Wiedenbeck (Davidson College)
Erik Brinkman (Independent Researcher)

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Session 2E: Humans and AI Agents

PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination (Page 679)
Xingzhou Lou (Institution of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences)
Jiaxian Guo (The University of Sydney)
Junge Zhang (Institution of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences)
Jun Wang (University College London)
Kaiqi Huang (Institution of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences)
Yali Du (King's College London)

Semi-Autonomous Systems with Contextual Competence Awareness (Page 689)
Saaduddin Mahmud (University of Massachusetts, Amherst)
Connor Basich (University of Massachusetts, Amherst)
Shlomo Zilberstein (University of Massachusetts, Amherst)

Joint Engagement Classification using Video Augmentation Techniques for Multi-person HRI in the wild (Page 698)
Yubin Kim (MIT Media Lab)
Huili Chen (MIT Media Lab)
Sharifa Algohwinem (MIT Media Lab)
Cynthia Breazeal (MIT Media Lab)
Hae Won Park (MIT Media Lab)

Multiagent Inverse Reinforcement Learning via Theory of Mind Reasoning (Page 708)
Haochen Wu (University of Michigan)
Pedro Sequeira (SRI International)
David V. Pynadath (University of Southern California)

Persuading to Prepare for Quitting Smoking with a Virtual Coach: Using States and User Characteristics to Predict Behavior (Page 717)
Nele Albers (Delft University of Technology)
Mark A. Neerincx (Delft University of Technology & TNO)
Willem-Paul Brinkman (Delft University of Technology)

Think Twice: A Human-like Two-stage Conversational Agent for Emotional Response Generation (Page 727)
Yushan Qian (Tianjin University)
Bo Wang (Tianjin University)
Shangzhao Ma (Tianjin University)
Wu Bin (Quesoar Co. Ltd.)
Shuo Zhang (Quesoar Co. Ltd.)
Dongming Zhao (China Mobile Communication Group Tianjin Co., Ltd.)
Kun Huang (China Mobile Communication Group Tianjin Co., Ltd.)
Yuexian Hou (Tianjin University)

Generating Stylistic and Personalized Dialogues for Virtual Agents in Narratives (Page 737)
Weilai Xu (Bournemouth University)
Fred Charles (Bournemouth University)
Charlie Hargood (Bournemouth University)

Reducing Racial Bias by Interacting with Virtual Agents: An Intervention in Virtual Reality (Page 747)
David Obremski (University of Würzburg)
Ohenewa Bediako Akuffo (University of Würzburg)
Leonie Lücke (University of Würzburg)
Miriam Semineth (University of Würzburg)
Sarah Tomiczek (University of Würzburg)
Hanna-Finja Weichert (University of Würzburg)
Birgit Lugrin (University of Würzburg)

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Session 2F: Knowledge Representation and Reasoning II

Provable Optimization of Quantal Response Leader-Follower Games with Exponentially Large Action Spaces (Page 756)
Jinzhao Li (Purdue University)
Daniel Fink (Cornell Lab of Ornithology)
Christopher Wood (Cornell Lab of Ornithology)
Carla P. Gomes (Cornell University)
Yexiang Xue (Purdue University)

Playing to Learn, or to Keep Secret: Alternating-Time Logic Meets Information Theory (Page 766)
Masoud Tabatabaei (University of Luxembourg)
Wojciech Jamroga (University of Luxembourg & Polish Academy of Sciences)

Synthesis of Resource-Aware Controllers Against Rational Agents (Page 775)
Rodica Condurache (A. I. Cuza University of Iaşi)
Catalin Dima (LACL -- Université Paris-Est Créteil)
Youssouf Oualhadj (LACL -- Université Paris-Est Créteil)
Nicolas Troquard (Free University of Bozen-Bolzano)

Computationally Feasible Strategies (Page 784)
Catalin Dima (Université Paris-Est Créteil)
Wojciech Jamroga (Polish Academy of Sciences & University of Luxembourg)

Towards the Verification of Strategic Properties in Multi-Agent Systems with Imperfect Information (Page 793)
Angelo Ferrando (University of Genoa)
Vadim Malvone (Télécom Paris)

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Session 3A: Reinforcement Learning

Follow your Nose: Using General Value Functions for Directed Exploration in Reinforcement Learning (Page 802)
Durgesh Kalwar (TCS Research)
Omkar Shelke (TCS Research)
Somjit Nath (TCS Research)
Hardik Meisheri (TCS Research)
Harshad Khadilkar (TCS Research)

FedFormer: Contextual Federation with Attention in Reinforcement Learning (Page 810)
Liam Hebert (University of Waterloo)
Lukasz Golab (University of Waterloo)
Pascal Poupart (University of Waterloo & Vector Institute)
Robin Cohen (University of Waterloo)

Diverse Policy Optimization for Structured Action Space (Page 819)
Wenhao Li (The Chinese University of Hong Kong, Shenzhen)
Baoxiang Wang (The Chinese University of Hong Kong, Shenzhen)
Shanchao Yang (The Chinese University of Hong Kong, Shenzhen)
Hongyuan Zha (The Chinese University of Hong Kong, Shenzhen & Shenzhen Institute of AI and Robotics for Society)

Enhancing Reinforcement Learning Agents with Local Guides (Page 829)
Paul Daoudi (Huawei Noah's Ark Lab)
Bogdan Robu (GIPSA-Lab)
Christophe Prieur (GIPSA-Lab)
Ludovic Dos Santos (Criteo AI Lab)
Merwan Barlier (Huawei Noah's Ark Lab)

Scalar Reward is Not Enough (Page 839)
Peter Vamplew (Federation University Australia)
Benjamin J. Smith (University of Oregon)
Johan Källström (Linköping University)
Gabriel Ramos (Universidade do Vale do Rio dos Sinos)
Roxana Rădulescu (Vrije Universiteit Brussel)
Diederik M. Roijers (Vrije Universiteit Brussel)
Conor F. Hayes (University of Galway)
Friedrik Hentz (Linköping University)
Patrick Mannion (University of Galway)
Pieter J.K. Libin (Vrije Universiteit Brussel)
Richard Dazeley (Deakin University)
Cameron Foale (Federation University Australia)

Targeted Search Control in AlphaZero for Effective Policy Improvement (Page 842)
Alexandre Trudeau (University of Alberta)
Michael Bowling (University of Alberta)

Out-of-Distribution Detection for Reinforcement Learning Agents with Probabilistic Dynamics Models (Page 851)
Tom Haider (Fraunhofer IKS)
Karsten Roscher (Fraunhofer IKS)
Felippe Schmoeller da Roza (Fraunhofer IKS)
Stephan Günnemann (Technical University of Munich)

Knowledge Compilation for Constrained Combinatorial Action Spaces in Reinforcement Learning (Page 860)
Jiajing Ling (Singapore Management University)
Moritz Lukas Schuler (Singapore Management University)
Akshat Kumar (Singapore Management University)
Pradeep Varakantham (Singapore Management University)

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Session 3B: Multiagent Path Finding

Anonymous Multi-Agent Path Finding with Individual Deadlines (Page 869)
Gilad Fine (Bar-Ilan University)
Dor Atzmon (Royal Holloway, University of London)
Noa Agmon (Bar-Ilan University)

Learn to Solve the Min-max Multiple Traveling Salesmen Problem with Reinforcement Learning (Page 878)
Junyoung Park (Korea Advanced Institute of Science and Technology)
Changhyun Kwon (University of South Florida)
Jinkyoo Park (Korea Advanced Institute of Science and Technology)

Counterfactual Fairness Filter for Fair-Delay Multi-Robot Navigation (Page 887)
Hikaru Asano (The University of Tokyo)
Ryo Yonetani (OMRON SINIC X)
Mai Nishimura (OMRON SINIC X)
Tadashi Kozuno (OMRON SINIC X)

Improved Complexity Results and an Efficient Solution for Connected Multi-Agent Path Finding (Page 896)
Isseïnie Calviac (Univ Rennes, CNRS, Inria)
Ocan Sankur (Univ Rennes, CNRS, Inria)
François Schwarzentruber (Univ Rennes, CNRS)

Optimally Solving the Multiple Watchman Route Problem with Heuristic Search (Page 905)
Yaakov Livne (Ben-Gurion University)
Dor Atzmon (Royal Holloway University of London)
Shawn Skyler (Ben-Gurion University)
Eli Boyarski (Ben-Gurion University)
Amir Shapiro (Ben-Gurion University)
Ariel Felner (Ben-Gurion University)

Distributed Planning with Asynchronous Execution with Local Navigation for Multi-agent Pickup and Delivery Problem (Page 914)
Yuki Miyashita (Shimizu Corporation)
Tomoki Yamauchi (Waseda University)
Toshiharu Sugawara (Waseda University)

Energy-aware UAV Path Planning with Adaptive Speed (Page 923)
Jonathan Diller (Colorado School of Mines)
Qi Han (Colorado School of Mines)

Coordination of Multiple Robots along Given Paths with Bounded Junction Complexity (Page 932)
Mikkel Abrahamsen (University of Copenhagen)
Tzvika Geft (Tel Aviv University)
Dan Halperin (Tel Aviv University)
Barak Ugav (Tel Aviv University)

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Session 3C: Matching

Best of Both Worlds Fairness under Entitlements (Page 941)
Haris Aziz (UNSW Sydney)
Aditya Ganguly (UNSW Sydney)
Evi Micha (University of Toronto)

Probabilistic Rationing with Categorized Priorities: Processing Reserves Fairly and Efficiently (Page 949)
Haris Aziz (UNSW Sydney)

Semi-Popular Matchings and Copeland Winners (Page 957)
Telikepalli Kavitha (Tata Institute of Fundamental Research)
Rohit Vaish (Indian Institute of Technology Delhi)

Host Community Respecting Refugee Housing (Page 966)
Dušan Knop (Czech Technical University in Prague)
Šimon Schierreich (Czech Technical University in Prague)

Online Matching with Delays and Stochastic Arrival Times (Page 976)
Mathieu Mari (University of Warsaw and IDEAS NCBR)
Michał Pawłowski (University of Warsaw and IDEAS NCBR)
Runtian Ren (University of Warsaw and IDEAS NCBR)
Piotr Sankowski (University of Warsaw, IDEAS NCBR and MIM Solutions)

Adapting Stable Matchings to Forced and Forbidden Pairs (Page 985)
Niclas Boehmer (Technische Universität Berlin)
Klaus Heeger (Technische Universität Berlin)

Stable Marriage in Euclidean Space (Page 994)
Yinghui Wen (Shandong University)
Zhongyi Zhang (Shandong University)
Jiong Guo (Shandong University)

A Map of Diverse Synthetic Stable Roommates Instances (Page 1003)
Niclas Boehmer (Technische Universität Berlin)
Klaus Heeger (Technische Universität Berlin)
Stanisław Szufa (AGH University)

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Session 3D: Learning in Games

Empirical Game-Theoretic Analysis for Mean Field Games (Page 1025)
Yongzhao Wang (University of Michigan)
Michael P. Wellman (University of Michigan)

Differentiable Arbitrating in Zero-sum Markov Games (Page 1034)
Jing Wang (New York University & Shanghai Qi Zhi Institute)
Meichen Song (Stony Brook University & Shanghai Qi Zhi Institute)
Feng Gao (Tsinghua University & Shanghai Qi Zhi Institute)
Boyi Liu (Northwestern University)
Zhaoran Wang (Northwestern University)
Yi Wu (Tsinghua University & Shanghai Qi Zhi Institute)

Learning Parameterized Families of Games (Page 1044)
Madelyn Gatchel (University of Michigan)
Bryce Wiedenbeck (Davidson College)

Fictitious Cross-Play: Learning Global Nash Equilibrium in Mixed Cooperative-Competitive Games (Page 1053)
Zelai Xu (Tsinghua University)
Yancheng Liang (Tsinghua University)
Chao Yu (Tsinghua University)
Yu Wang (Tsinghua University)
Yi Wu (Tsinghua University & Shanghai Qi Zhi Institute)

Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories (Page 1062)
Jingqi Li (University of California, Berkeley)
Chih-Yuan Chiu (University of California, Berkeley)
Lasse Peters (Delft University of Technology)
Somayeh Sojoudi (University of California, Berkeley)
Claire Tomlin (University of California, Berkeley)
David Fridovich-Keil (University of Texas, Austin)

Multiplicative Weight Updates for Extensive Form Games (Page 1071)
Chirag Chhablani (University of Illinois at Chicago)
Michael Sullins (University of Illinois at Chicago)
Ian A. Kash (University of Illinois at Chicago)

A Hybrid Framework of Reinforcement Learning and Physics-Informed Deep Learning for Spatiotemporal Mean Field Games (Page 1079)
Xu Chen (Columbia University)
Shuo Liu (Columbia University)
Xuan Di (Columbia University)

Adversarial Inverse Reinforcement Learning for Mean Field Games (Page 1088)
Yang Chen (University of Auckland)
Libo Zhang (University of Auckland)
Jiamou Liu (University of Auckland)
Michael Witbrock (University of Auckland)

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Session 3E: Learning with Humans and Robots

GANterfactual-RL: Understanding Reinforcement Learning Agents' Strategies through Visual Counterfactual Explanations (Page 1097)
Tobias Huber (University of Augsburg)
Maximilian Demmler (University of Augsburg)
Silvan Mertes (University of Augsburg)
Matthew L. Olson (Oregon State University)
Elisabeth André (University of Augsburg)

Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration (Page 1108)
Chao Yu (Tsinghua University)
Xinyi Yang (Tsinghua University)
Jiaxuan Gao (Tsinghua University)
Jiayu Chen (Tsinghua University)
Yunfei Li (Tsinghua University)
Jijia Liu (Tongji University)
Yunfei Xiang (Tsinghua University)
Ruixin Huang (Tsinghua University)
Huazhong Yang (Tsinghua University)
Yi Wu (Tsinghua University & Shanghai Qi Zhi Institute)
Yu Wang (Tsinghua University)

Dec-AIRL: Decentralized Adversarial IRL for Human-Robot Teaming (Page 1116)
Prasanth Sengadu Suresh (University of Georgia)
Yikang Gui (University of Georgia)
Prashant Doshi (University of Georgia)

Structural Attention-based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection (Page 1125)
Neeloy Chakraborty (University of Illinois)
Aamir Hasan (University of Illinois)
Shuijing Liu (University of Illinois)
Tianchen Ji (University of Illinois)
Weihang Liang (University of Illinois)
D. Livingston McPherson (University of Illinois)
Katherine Driggs-Campbell (University of Illinois)

Controlled Diversity with Preference : Towards Learning a Diverse Set of Desired Skills (Page 1135)
Maxence Hussonnois (Deakin University)
Thommen George Karimpanal (Deakin University)
Santu Rana (Deakin University)

Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning (Page 1144)
Sriram Ganapathi Subramanian (Vector Institute & University of Waterloo)
Matthew E. Taylor (University of Alberta & Alberta Machine Intelligence Institute)
Kate Larson (University of Waterloo)
Mark Crowley (University of Waterloo)

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Session 3F: Engineering Multiagent Systems

Kiko: Programming Agents to Enact Interaction Models (Page 1154)
Samuel H. Christie, V (North Carolina State University)
Munindar P. Singh (North Carolina State University)
Amit K. Chopra (Lancaster University)

CraftEnv: A Flexible Collective Robotic Construction Environment for Multi-Agent Reinforcement Learning (Page 1164)
Rui Zhao (Tencent Robotics X Lab)
Xu Liu (Shanghai Jiao Tong University & Tencent Robotics X Lab)
Yizheng Zhang (Tencent Robotics X Lab)
Minghao Li (Tencent Robotics X Lab & Sun Yat-sen University)
Cheng Zhou (Tencent Robotics X Lab)
Shuai Li (Shanghai Jiao Tong University)
Lei Han (Tencent Robotics X Lab)

Feedback-Guided Intention Scheduling for BDI Agents (Page 1173)
Michael Dann (RMIT University)
John Thangarajah (RMIT University)
Minyi Li (RMIT University)

A Behaviour-Driven Approach for Testing Requirements via User and System Stories in Agent Systems (Page 1182)
Sebastian Rodriguez (RMIT University)
John Thangarajah (RMIT University)
Michael Winikoff (Victoria University of Wellington)

ML-MAS: A Hybrid AI Framework for Self-Driving Vehicles (Page 1191)
Hilal Al Shukairi (University of Aberdeen)
Rafael C. Cardoso (University of Aberdeen)

Signifiers as a First-class Abstraction in Hypermedia Multi-Agent Systems (Page 1200)
Danai Vachtsevanou (University of St. Gallen)
Andrei Ciortea (University of St. Gallen)
Simon Mayer (University of St. Gallen)
Jérémy Lemée (University of St. Gallen)

MAIDS - A Framework for the Development of Multi-Agent Intentional Dialogue Systems (Page 1209)
Débora C. Engelmann (PUCRS & University of Genoa)
Alison R. Panisson (UFSC)
Renata Vieira (University of Évora)
Jomi Fred Hübner (UFSC)
Viviana Mascardi (University of Genoa)
Rafael H. Bordini (PUCRS)

Mandrake: Multiagent Systems as a Basis for Programming Fault-Tolerant Decentralized Applications (Page 1218)
Samuel H. Christie, V (North Carolina State University)
Munindar P. Singh (North Carolina State University)
Amit K. Chopra (Lancaster University)

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Session 4A: Reinforcement and Imitation Learning

Curriculum Offline Reinforcement Learning (Page 1221)
Yuanying Cai (Tsinghua University)
Chuheng Zhang (Microsoft Research Asia)
Hanye Zhao (Microsoft Research Asia)
Li Zhao (Microsoft Research Asia)
Jiang Bian (Microsoft Research Asia)

Decentralized Model-Free Reinforcement Learning in Stochastic Games with Average-Reward Objective (Page 1230)
Romain Cravic (University Grenoble Alpes, Inria, CNRS, Grenoble INP, LIG)
Nicolas Gast (University Grenoble Alpes, Inria, CNRS, Grenoble INP, LIG)
Bruno Gaujal (University Grenoble Alpes, Inria, CNRS, Grenoble INP, LIG)

Less Is More: Refining Datasets for Offline Reinforcement Learning with Reward Machines (Page 1239)
Haoyuan Sun (University of Science and Technology of China)
Feng Wu (University of Science and Technology of China)

A Self-Organizing Neuro-Fuzzy Q-Network: Systematic Design with Offline Hybrid Learning (Page 1248)
John Wesley Hostetter (North Carolina State University)
Mark Abdelshiheed (North Carolina State University)
Tiffany Barnes (North Carolina State University)
Min Chi (North Carolina State University)

Learning to Coordinate from Offline Datasets with Uncoordinated Behavior Policies (Page 1258)
Jinming Ma (University of Sicence and Technology of China)
Feng Wu (University of Sicence and Technology of China)

D-Shape: Demonstration-Shaped Reinforcement Learning via Goal-Conditioning (Page 1267)
Caroline Wang (The University of Texas at Austin)
Garrett Warnell (Army Research Laboratory & The University of Texas at Austin)
Peter Stone (The University of Texas at Austin & Sony AI)

How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement (Page 1276)
Xu-Hui Liu (Nanjing University)
Feng Xu (Nanjing University)
Xinyu Zhang (Nanjing University)
Tianyuan Liu (Nanjing University)
Shengyi Jiang (The University of Hong Kong)
Ruifeng Chen (Nanjing University)
Zongzhang Zhang (Nanjing University)
Yang Yu (Nanjing University & Peng Cheng Laboratory)

Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games (Page 1285)
The Viet Bui (Singapore Management University)
Tien Mai (Singapore Management University)
Thanh H. Nguyen (University of Oregon)

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Session 4B: Multi-Armed Bandits + Monte Carlo Tree Search

Indexability is Not Enough for Whittle: Improved, Near-Optimal Algorithms for Restless Bandits (Page 1294)
Abheek Ghosh (University of Oxford)
Dheeraj Nagaraj (Google Research)
Manish Jain (Google Research)
Milind Tambe (GoogleGoogle Research)

Avoiding Starvation of Arms in Restless Multi-Armed Bandits (Page 1303)
Dexun Li (Singapore Management University)
Pradeep Varakantham (Singapore Management University)

Restless Multi-Armed Bandits for Maternal and Child Health: Results from Decision-Focused Learning (Page 1312)
Shresth Verma (Google Research India)
Aditya Mate (Harvard University)
Kai Wang (Harvard University)
Neha Madhiwalla (ARMMAN)
Aparna Hegde (ARMMAN)
Aparna Taneja (Google Research India)
Milind Tambe (Google Research India)

Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks (Page 1321)
Arpita Biswas (Harvard University)
Jackson A. Killian (Harvard University)
Paula Rodriguez Diaz (Harvard University)
Susobhan Ghosh (Harvard University)
Milind Tambe (Harvard University)

On Regret-optimal Cooperative Nonstochastic Multi-armed Bandits (Page 1329)
Jialin Yi (London School of Economics and Political Science)
Milan Vojnović (London School of Economics and Political Science)

Equilibrium Bandits: Learning Optimal Equilibria of Unknown Dynamics (Page 1336)
Siddharth Chandak (Stanford University)
Ilai Bistritz (Stanford University)
Nicholas Bambos (Stanford University)

ExPoSe: Combining State-Based Exploration with Gradient-Based Online Search (Page 1345)
Dixant Mittal (National University of Singapore)
Siddharth Aravindan (National University of Singapore)
Wee Sun Lee (National University of Singapore)

Formally-Sharp DAgger for MCTS: Lower-Latency Monte Carlo Tree Search using Data Aggregation with Formal Methods (Page 1354)
Debraj Chakraborty (Université Libre de Bruxelles)
Damien Busatto-Gaston (University Paris Est Créteil)
Jean-François Raskin (Université Libre de Bruxelles)
Guillermo A. Pérez (University of Antwerp)

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Session 4C: Auctions + Voting

Price of Anarchy for First Price Auction with Risk-Averse Bidders (Page 1363)
Zhiqiang Zhuang (Tianjin University)
Kewen Wang (Griffith University)
Zhe Wang (Griffith University)

A Redistribution Framework for Diffusion Auctions (Page 1370)
Sizhe Gu (ShanghaiTech University)
Yao Zhang (ShanghaiTech University)
Yida Zhao (ShanghaiTech University)
Dengji Zhao (ShanghaiTech University)

Sybil-Proof Diffusion Auction in Social Networks (Page 1379)
Hongyin Chen (Peking University)
Xiaotie Deng (Peking University)
Ying Wang (Peking University)
Yue Wu (Peking University)
Dengji Zhao (ShanghaiTech University)

Representing and Reasoning about Auctions (Page 1388)
Munyque Mittelmann (University of Naples Federico II)
Laurent Perrussel (University of Toulouse Capitole - IRIT)
Sylvain Bouveret (University of Grenoble Alpes)

Revisiting the Distortion of Distributed Voting (Page 1391)
Aris Filos-Ratsikas (University of Edinburgh)
Alexandros A. Voudouris (University of Essex)

Bounded Approval Ballots: Balancing Expressiveness and Simplicity for Multiwinner Elections (Page 1400)
Dorothea Baumeister (Heinrich-Heine-Universität)
Linus Boes (Heinrich-Heine-Universität)
Christian Laußmann (Heinrich-Heine-Universität)
Simon Rey (ILLC, University of Amsterdam)

On the Distortion of Single Winner Elections with Aligned Candidates (Page 1409)
Dimitris Fotakis (National Technical University of Athens)
Laurent Gourvès (Université Paris Dauphine-PSL, CNRS)

SAT-based Judgment Aggregation (Page 1412)
Ari Conati (University of Helsinki)
Andreas Niskanen (University of Helsinki)
Matti Järvisalo (University of Helsinki)

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Session 4E: Robotics

Decentralised and Cooperative Control of Multi-Robot Systems through Distributed Optimisation (Page 1421)
Yi Dong (University of Liverpool)
Zhongguo Li (University College London)
Xingyu Zhao (University of Liverpool)
Zhengtao Ding (University of Manchester)
Xiaowei Huang (University of Liverpool)

Byzantine Resilience at Swarm Scale: A Decentralized Blocklist Protocol from Inter-robot Accusations (Page 1430)
Kacper Wardega (Boston University)
Max von Hippel (Boston University)
Roberto Tron (Boston University)
Cristina Nita-Rotaru (Boston University)
Wenchao Li (Boston University)

Stigmergy-based, Dual-Layer Coverage of Unknown Regions (Page 1439)
Ori Rappel (Technion - Israel Institute of Technology)
Michael Amir (Technion - Israel Institute of Technology)
Alfred M. Bruckstein (Technion - Israel Institute of Technology)

Mitigating Imminent Collision for Multi-robot Navigation: A TTC-force Reward Shaping Approach (Page 1448)
Jinlin Chen (The Hong Kong Polytechnic University)
Jiannong Cao (The Hong Kong Polytechnic University)
Zhiqin Cheng (The Hong Kong Polytechnic University)
Wei Li (Jiangnan University)

Gathering of Anonymous Agents (Page 1457)
Arnhav Datar (IIT Madras)
Nischith Shadagopan M N (IIT Madras)
John Augustine (IIT Madras)

Safe Deep Reinforcement Learning by Verifying Task-Level Properties (Page 1466)
Enrico Marchesini (Northeastern University)
Luca Marzari (University of Verona)
Alessandro Farinelli (University of Verona)
Christopher Amato (Northeastern University)

Decentralized Safe Navigation for Multi-agent Systems via Risk-aware Weighted Buffered Voronoi Cells (Page 1476)
Yiwei Lyu (Carnegie Mellon University)
John M. Dolan (Carnegie Mellon University)
Wenhao Luo (University of North Carolina at Charlotte)

Heterogeneous Multi-Robot Reinforcement Learning (Page 1485)
Matteo Bettini (University of Cambridge)
Ajay Shankar (University of Cambridge)
Amanda Prorok (University of Cambridge)

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Session 4F: Innovative Applications

Efficient Interactive Recommendation via Huffman Tree-based Policy Learning (Page 1495)
Longxiang Shi (Zhejiang University City College)
Zilin Zhang (Zhejiang University)
Shoujin Wang (University of Technology Sydney)
Binbin Zhou (Zhejiang University City College)
Minghui Wu (Zhejiang University City College)
Cheng Yang (Zhejiang University City College)
Shijian Li (Zhejiang University)

HOPE: Human-Centric Off-Policy Evaluation for E-Learning and Healthcare (Page 1504)
Ge Gao (North Carolina State University)
Song Ju (North Carolina State University)
Markel Sanz Ausin (North Carolina State University)
Min Chi (North Carolina State University)

ShelfHelp: Empowering Humans to Perform Vision-Independent Manipulation Tasks with a Socially Assistive Robotic Cane (Page 1514)
Shivendra Agrawal (University of Colorado Boulder)
Suresh Nayak (University of Colorado Boulder)
Ashutosh Naik (University of Colorado Boulder)
Bradley Hayes (University of Colorado Boulder)

Preference-Aware Delivery Planning for Last-Mile Logistics (Page 1524)
Qian Shao (Singapore Management University)
Shih-Fen Cheng (Singapore Management University)

Multi-Agent Reinforcement Learning with Safety Layer for Active Voltage Control (Page 1533)
Yufeng Shi (University of Science and Technology of China)
Mingxiao Feng (University of Science and Technology of China)
Minrui Wang (University of Science and Technology of China)
Wengang Zhou (University of Science and Technology of China)
Houqiang Li (University of Science and Technology of China)

Multi-agent Signalless Intersection Management with Dynamic Platoon Formation (Page 1542)
Phuriwat Worrawichaipat (University of Southampton)
Enrico H. Gerding (University of Southampton)
Ioannis Kaparias (University of Southampton)
Sarvapali Ramchurn (University of Southampton)

SocialLight: Distributed Cooperation Learning towards Network-Wide Traffic Signal Control (Page 1551)
Harsh Goel (University of Pennsylvania)
Yifeng Zhang (National University of Singapore)
Mehul Damani (Massachusetts Institute of Technology)
Guillaume Sartoretti (National University of Singapore)

Model-Based Reinforcement Learning for Auto-bidding in Display Advertising (Page 1560)
Shuang Chen (Ant Group)
Qisen Xu (Ant Group)
Liang Zhang (Ant Group)
Yongbo Jin (Ant Group)
Wenhao Li (The Chinese University of Hong Kong)
Linjian Mo (Ant Group)

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Session 5A: Multiagent Reinforcement Learning III

Learning Inter-Agent Synergies in Asymmetric Multiagent Systems (Page 1569)
Gaurav Dixit (Oregon State University)
Kagan Tumer (Oregon State University)

Asymptotic Convergence and Performance of Multi-Agent Q-learning Dynamics (Page 1578)
Aamal Abbas Hussain (Imperial College London)
Francesco Belardinelli (Imperial College London)
Georgios Piliouras (Singapore University of Technology and Design)

Model-based Dynamic Shielding for Safe and Efficient Multi-agent Reinforcement Learning (Page 1587)
Wenli Xiao (The Chinese University of Hong Kong, Shenzhen)
Yiwei Lyu (Carnegie Mellon University)
John Dolan (Carnegie Mellon University)

Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning (Page 1597)
Jihwan Oh (Korea Military Academy)
Joonkee Kim (KAIST)
Minchan Jeong (KAIST)
Se-Young Yun (KAIST)

Counterexample-Guided Policy Refinement in Multi-Agent Reinforcement Learning (Page 1606)
Briti Gangopadhyay (IIT Kharagpur)
Pallab Dasgupta (IIT Kharagpur)
Soumyajit Dey (IIT Kharagpur)

Prioritized Tasks Mining for Multi-Task Cooperative Multi-Agent Reinforcement Learning (Page 1615)
Yang Yu (University of Chinese Academy of Sciences & Institute of Automation, Chinese Academy of Sciences)
Qiyue Yin (University of Chinese Academy of Sciences & Institute of Automation, Chinese Academy of Sciences)
Junge Zhang (University of Chinese Academy of Sciences & Institute of Automation, Chinese Academy of Sciences)
Kaiqi Huang (University of Chinese Academy of Sciences & Institute of Automation, Chinese Academy of Sciences)

M3: Modularization for Multi-task and Multi-agent Offline Pre-training (Page 1624)
Linghui Meng (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences)
Jingqing Ruan (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences)
Xuantang Xiong (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences)
Xiyun Li (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences)
Xi Zhang (Institute of Automation, Chinese Academy of Sciences)
Dengpeng Xing (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences)
Bo Xu (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences)

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Session 5B: Graph Neural Networks + Transformers

User Device Interaction Prediction via Relational Gated Graph Attention Network and Intent-aware Encoder (Page 1634)
Jingyu Xiao (Tsinghua Shenzhen International Graduate School & Peng Cheng Laboratory)
Qingsong Zou (Tsinghua Shenzhen International Graduate School & Peng Cheng Laboratory)
Qing Li (Peng Cheng Laboratory)
Dan Zhao (Peng Cheng Laboratory)
Kang Li (Jilin University)
Wenxin Tang (Jilin University)
Runjie Zhou (Shandong University)
Yong Jiang (Tsinghua Shenzhen International Graduate School & Peng Cheng Laboratory)

Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observations (Page 1643)
Gregory Everett (University of Southampton)
Ryan J. Beal (University of Southampton)
Tim Matthews (University of Southampton)
Joseph Early (University of Southampton)
Timothy J. Norman (University of Southampton)
Sarvapali D. Ramchurn (University of Southampton)

Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation (Page 1652)
Xinyi Yang (Tsinghua University)
Shiyu Huang (4Paradigm Inc.)
Yiwen Sun (Fudan University)
Yuxiang Yang (Tsinghua University)
Chao Yu (Tsinghua University)
Wei-Wei Tu (4Paradigm Inc.)
Huazhong Yang (Tsinghua University)
Yu Wang (Tsinghua University)

Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning (Page 1661)
Ryan Kortvelesy (University of Cambridge)
Steven Morad (University of Cambridge)
Amanda Prorok (University of Cambridge)

Infomaxformer: Maximum Entropy Transformer for Long Time-Series Forecasting Problem (Page 1670)
Peiwang Tang (University of Science and Technology of China & Jiaxing University)
Xianchao Zhang (Jiaxing University)

TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Problems (Page 1679)
Matteo Gallici (Universitat Politècnica de Catalunya)
Mario Martin (Universitat Politècnica de Catalunya)
Ivan Masmitja (Institut de Ciències del Mar (ICM), CSIC)

Intelligent Onboard Routing in Stochastic Dynamic Environments using Transformers (Page 1688)
Rohit Chowdhury (Indian Institute of Science, Bangalore)
Raswanth Murugan (Indian Institute of Technology, Palakkad)
Deepak Subramani (Indian Institute of Science, Bangalore)

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Session 5C: Voting I

Characterizations of Sequential Valuation Rules (Page 1697)
Chris Dong (Technical University of Munich)
Patrick Lederer (Technical University of Munich)

Collecting, Classifying, Analyzing, and Using Real-World Ranking Data (Page 1706)
Niclas Boehmer (Technische Universität Berlin)
Nathan Schaar (Technische Universität Berlin)

Margin of Victory for Weighted Tournament Solutions (Page 1716)
Michelle Döring (Hasso-Plattner-Institute)
Jannik Peters (Technische Universität Berlin)

Bribery Can Get Harder in Structured Multiwinner Approval Election (Page 1725)
Bartosz Kusek (AGH University of Science and Technology)
Robert Bredereck (Humboldt-Universität zu Berlin & TU Clausthal)
Piotr Faliszewski (AGH University of Science and Technology)
Andrzej Kaczmarczyk (AGH University of Science and Technology)
Dušan Knop (Czech Technical University in Prague)

Strategyproof Social Decision Schemes on Super Condorcet Domains (Page 1734)
Felix Brandt (Technical University of Munich)
Patrick Lederer (Technical University of Munich)
Sascha Tausch (Technical University of Munich)

Separating and Collapsing Electoral Control Types (Page 1743)
Benjamin Carleton (Cornell University)
Michael C. Chavrimootoo (University of Rochester)
Lane A. Hemaspaandra (University of Rochester)
David E. Narváez (Virginia Tech)
Conor Taliancich (Property Matrix)
Henry B. Welles (University of Rochester)

The Distortion of Approval Voting with Runoff (Page 1752)
Soroush Ebadian (University of Toronto)
Mohamad Latifian (University of Toronto)
Nisarg Shah (University of Toronto)

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Session 5D: Blue Sky

Models of Anxiety for Agent Deliberation: The Benefits of Anxiety-Sensitive Agents (Page 1761)
Arvid Horned (Umeå University)
Loïs Vanhée (Umeå University)

Social Choice Around Decentralized Autonomous Organizations: On the Computational Social Choice of Digital Communities (Page 1768)
Nimrod Talmon (Ben-Gurion University)

Value Inference in Sociotechnical Systems (Page 1774)
Enrico Liscio (TU Delft)
Roger Lera-Leri (IIIA-CSIC)
Filippo Bistaffa (IIIA-CSIC)
Roel I.J. Dobbe (TU Delft)
Catholijn M. Jonker (TU Delft & Leiden University)
Maite Lopez-Sanchez (University of Barcelona)
Juan A. Rodriguez-Aguilar (IIIA-CSIC)
Pradeep K. Murukannaiah (TU Delft)

Presenting Multiagent Challenges in Team Sports Analytics (Page 1781)
David Radke (Chicago Blackhawks)
Alexi Orchard (University of Waterloo)

Communication Meaning: Foundations and Directions for Systems Research (Page 1786)
Amit K. Chopra (Lancaster University)
Samuel H. Christie V (North Carolina State University)

The Rule-Tool-User Nexus in Digital Collective Decisions (Page 1792)
Zoi Terzopoulou (GATE, University of Lyon - Saint-Etienne)
Marijn A. Keijzer (Institute for Advanced Study in Toulouse)
Gogulapati Sreedurga (Indian Institute of Science)
Jobst Heitzig (Potsdam Institute for Climate Impact Research)

Epistemic Side Effects: An AI Safety Problem (Page 1797)
Toryn Q. Klassen (University of Toronto & Vector Institute)
Parand Alizadeh Alamdari (University of Toronto & Vector Institute)
Sheila A. McIlraith (University of Toronto & Vector Institute)

Citizen-Centric Multiagent Systems (Page 1802)
Sebastian Stein (University of Southampton)
Vahid Yazdanpanah (University of Southampton)

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Session 5E: Adversarial Learning + Social Networks + Causal Graphs

FedMM: A Communication Efficient Solver for Federated Adversarial Domain Adaptation (Page 1808)
Yan Shen (University at Buffalo)
Jian Du (TikTok Inc.)
Han Zhao (University of Illinois Urbana Champaign)
Zhanghexuan Ji (University at Buffalo)
Chunwei Ma (University at Buffalo)
Mingchen Gao (University at Buffalo)

Adversarial Link Prediction in Spatial Networks (Page 1817)
Michał Tomasz Godziszewski (University of Warsaw & IDEAS NCBR)
Yevgeniy Vorobeychik (Washington University in St. Louis)
Tomasz Michalak (University of Warsaw & IDEAS NCBR)

Distributed Mechanism Design in Social Networks (Page 1826)
Haoxin Liu (ShanghaiTech University)
Yao Zhang (ShanghaiTech University)
Dengji Zhao (ShanghaiTech University)

Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks (Page 1835)
Mohammad Mohammadi (Max Planck Institute for Software Systems)
Jonathan Nöther (Max Planck Institute for Software Systems)
Debmalya Mandal (Max Planck Institute for Software Systems)
Adish Singla (Max Planck Institute for Software Systems)
Goran Radanovic (Max Planck Institute for Software Systems)

How to Turn an MAS into a Graphical Causal Model (Page 1845)
H. Van Dyke Parunak (Parallax Advanced Research)

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Session 5F: Simulations

Differentiable Agent-based Epidemiology (Page 1848)
Ayush Chopra (Massachusetts Institute of Technology)
Alexander Rodríguez (Georgia Institute of Technology)
Jayakumar Subramanian (Adobe Media and Data Science Research)
Arnau Quera-Bofarull (University of Oxford)
Balaji Krishnamurthy (Adobe Media and Data Science Research)
B. Aditya Prakash (Georgia Institute of Technology)
Ramesh Raskar (Massachusetts Institute of Technology)

Social Distancing via Social Scheduling (Page 1858)
Deepesh Kumar Lall (Oracle India)
Garima Shakya (Kyushu University)
Swaprava Nath (Indian Institute of Technology Bombay)

Don't Simulate Twice: One-Shot Sensitivity Analyses via Automatic Differentiation (Page 1867)
Arnau Quera-Bofarull (University of Oxford)
Ayush Chopra (Massachusetts Institute of Technology)
Joseph Aylett-Bullock (United Nations Global Pulse)
Carolina Cuesta-Lazaro (Massachusetts Institute of Technology)
Anisoara Calinescu (University of Oxford)
Ramesh Raskar (Massachusetts Institute of Technology)
Michael Wooldridge (University of Oxford)

Markov Aggregation for Speeding Up Agent-Based Movement Simulations (Page 1877)
Bernhard C. Geiger (Know-Center GmbH)
Alireza Jahani (Brunel University London)
Hussain Hussain (Graz University of Technology)
Derek Groen (Brunel University London)

Agent-Based Modeling of Human Decision-makers Under Uncertain Information During Supply Chain Shortages (Page 1886)
Nutchanon Yongsatianchot (Northeastern University)
Noah Chicoine (Northeastern University)
Jacqueline Griffin (Northeastern University)
Ozlem Ergun (Northeastern University)
Stacy Marsella (Northeastern University)

Simulating Panic Amplification in Crowds via Density-Emotion Interaction (Page 1895)
Erik van Haeringen (Vrije Universiteit)
Charlotte Gerritsen (Vrije Universiteit)

Modelling Agent Decision Making in Agent-based Simulation - Analysis Using an Economic Technology Uptake Model (Page 1903)
Franziska Klügl (Örebro University)
Hildegunn Kyvik Nordås (Örebro University)

Emotion Contagion in Agent-based Simulations of Crowds: A Systematic Review (Page 1912)
Erik van Haeringen (Vrije Universiteit Amsterdam)
Charlotte Gerritsen (Vrije Universiteit Amsterdam)
Koen Hindriks (Vrije Universiteit Amsterdam)

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Session 6A: Deep Learning

Worst-Case Adaptive Submodular Cover (Page 1915)
Jing Yuan (University of North Texas)
Shaojie Tang (The University of Texas at Dallas)

Minimax Strikes Back (Page 1923)
Quentin Cohen-Solal (LAMSADE Université Paris Dauphine PSL CNRS)
Tristan Cazenave (LAMSADE Université Paris Dauphine PSL CNRS)

Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning (Page 1932)
Bram Grooten (Eindhoven University of Technology)
Ghada Sokar (Eindhoven University of Technology)
Shibhansh Dohare (University of Alberta)
Elena Mocanu (University of Twente)
Matthew E. Taylor (University of Alberta & Alberta Machine Intelligence Institute (Amii))
Mykola Pechenizkiy (Eindhoven University of Technology)
Decebal Constantin Mocanu (University of Luxembourg & University of Twente)

Parameter Sharing with Network Pruning for Scalable Multi-Agent Deep Reinforcement Learning (Page 1942)
Woojun Kim (Korea Advanced Institute of Science and Technology)
Youngchul Sung (Korea Advanced Institute of Science and Technology)

Learning Rewards to Optimize Global Performance Metrics in Deep Reinforcement Learning (Page 1951)
Junqi Qian (Shanghai Jiao Tong University)
Paul Weng (Shanghai Jiao Tong University)
Chenmien Tan (University of Nottingham Ningbo China)

A Deep Reinforcement Learning Approach for Online Parcel Assignment (Page 1961)
Hao Zeng (Cainiao Network)
Qiong Wu (Cainiao Network)
Kunpeng Han (Cainiao Network)
Junying He (Cainiao Network)
Haoyuan Hu (Cainiao Network)

CoRaL: Continual Representation Learning for Overcoming Catastrophic Forgetting (Page 1969)
Mohammad Samin Yasar (University of Virginia)
Tariq Iqbal (University of Virginia)

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Session 6B: Multi-objective Planning and Learning

Revealed Multi-Objective Utility Aggregation in Human Driving (Page 1979)
Atrisha Sarkar (University of Toronto)
Kate Larson (University of Waterloo)
Krzysztof Czarnecki (University of Waterloo)

A Brief Guide to Multi-Objective Reinforcement Learning and Planning (Page 1988)
Conor F. Hayes (University of Galway)
Roxana Rădulescu (Vrije Universiteit Brussel)
Eugenio Bargiacchi (Vrije Universiteit Brussel)
Johan Källström (Linköping University)
Matthew Macfarlane (University of Amsterdam)
Mathieu Reymond (Vrije Universiteit Brussel)
Timothy Verstraeten (Vrije Universiteit Brussel)
Luisa M. Zintgraf (University of Oxford)
Richard Dazeley (Deakin University)
Fredrik Heintz (Linköping University)
Enda Howley (University of Galway)
Athirai A. Irissappane (Amazon)
Patrick Mannion (University of Galway)
Ann Nowé (Vrije Universiteit Brussel)
Gabriel Ramos (Universidade of Vale do Rio dos Sinos)
Marcello Restelli (Politecnico di Milano)
Peter Vamplew (Federation University)
Diederik M. Roijers (City of Amsterdam)

Welfare and Fairness in Multi-objective Reinforcement Learning (Page 1991)
Ziming Fan (Duke University)
Nianli Peng (Duke University)
Muhang Tian (Duke University)
Brandon Fain (Duke University)

Preference-Based Multi-Objective Multi-Agent Path Finding (Page 2000)
Florence Ho (National Institute of Advanced Industrial Science and Technology (AIST))
Shinji Nakadai (NEC Corporation & National Institute of Advanced Industrial Science and Technology (AIST))

Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization (Page 2003)
Lucas N. Alegre (Federal University of Rio Grande do Sul & Vrije Universiteit Brussel)
Ana L. C. Bazzan (Federal University of Rio Grande do Sul)
Diederik M. Roijers (Vrije Universiteit Brussel)
Ann Nowé (Vrije Universiteit Brussel)
Bruno C. da Silva (University of Massachusetts)

MADDM: Multi-Advisor Dynamic Binary Decision-Making by Maximizing the Utility (Page 2013)
Zhaori Guo (University of Southampton)
Timothy J. Norman (University of Southampton)
Enrico H. Gerding (University of Southampton)

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Session 6C: Voting II

On the Complexity of the Two-Stage Majority Rule (Page 2022)
Yongjie Yang (Saarland University)

Fairness in Participatory Budgeting via Equality of Resources (Page 2031)
Jan Maly (University of Amsterdam)
Simon Rey (University of Amsterdam)
Ulle Endriss (University of Amsterdam)
Martin Lackner (TU Wien)

Free-Riding in Multi-Issue Decisions (Page 2040)
Martin Lackner (TU Wien)
Jan Maly (University of Amsterdam)
Oliviero Nardi (TU Wien)

k-Prize Weighted Voting Game (Page 2049)
Wei-Chen Lee (University of Oxford)
David Hyland (University of Oxford)
Alessandro Abate (University of Oxford)
Edith Elkind (University of Oxford)
Jiarui Gan (University of Oxford)
Julian Gutierrez (Monash University)
Paul Harrenstein (University of Oxford)
Michael Wooldridge (University of Oxford)

Computing the Best Policy that Survives a Vote (Page 2058)
Andrei Constantinescu (ETH Zurich)
Roger Wattenhofer (ETH Zurich)

Voting by Axioms (Page 2067)
Marie Christin Schmidtlein (University of Amsterdam)
Ulle Endriss (University of Amsterdam)

A Hotelling-Downs Game for Strategic Candidacy with Binary Issues (Page 2076)
Javier Maass (Universidad de Chile)
Vincent Mousseau (CentraleSupélec, Université Paris-Saclay)
Anaëlle Wilczynski (CentraleSupélec, Université Paris-Saclay)

Voting with Limited Energy: A Study of Plurality and Borda (Page 2085)
Zoi Terzopoulou (GATE, University of Lyon - Saint-Etienne)

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Session 6D: Mechanism Design

Non-Obvious Manipulability for Single-Parameter Agents and Bilateral Trade (Page 2107)
Thomas Archbold (King's College London)
Bart de Keijzer (King's College London)
Carmine Ventre (King's College London)

Mechanism Design for Improving Accessibility to Public Facilities (Page 2116)
Hau Chan (University of Nebraska-Lincoln)
Chenhao Wang (Beijing Normal University-Zhuhai)

Explicit Payments for Obviously Strategyproof Mechanisms (Page 2125)
Diodato Ferraioli (Università degli Studi di Salerno)
Carmine Ventre (King's College London)

Bilevel Entropy based Mechanism Design for Balancing Meta in Video Games (Page 2134)
Sumedh Pendurkar (Texas A&M University)
Chris Chow (Niantic Inc.)
Luo Jie (Niantic Inc.)
Guni Sharon (Texas A&M University)

IQ-Flow: Mechanism Design for Inducing Cooperative Behavior to Self-Interested Agents in Sequential Social Dilemmas (Page 2143)
Bengisu Guresti (Istanbul Technical University)
Abdullah Vanlioglu (Istanbul Technical University)
Nazim Kemal Ure (Istanbul Technical University)

Settling the Distortion of Distributed Facility Location (Page 2152)
Aris Filos-Ratsikas (University of Edinburgh)
Panagiotis Kanellopoulos (University of Essex)
Alexandros A. Voudouris (University of Essex)
Rongsen Zhang (University of Essex)

Cost Sharing under Private Valuation and Connection Control (Page 2161)
Tianyi Zhang (ShanghaiTech University, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, & China University of Chinese Academy of Sciences)
Junyu Zhang (ShanghaiTech University)
Sizhe Gu (ShanghaiTech University)
Dengji Zhao (ShanghaiTech University)

Facility Location Games with Thresholds (Page 2170)
Houyu Zhou (City University of Hong Kong)
Guochuan Zhang (Zhejiang University)
Lili Mei (Hangzhou Dianzi University)
Minming Li (City University of Hong Kong)

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Session 6E: Social Networks

Random Majority Opinion Diffusion: Stabilization Time, Absorbing States, and Influential Nodes (Page 2179)
Ahad N. Zehmakan (The Australian National University)

Axiomatic Analysis of Medial Centrality Measures (Page 2188)
Wiktoria Kosny (University of Warsaw)
Oskar Skibski (University of Warsaw)

Online Influence Maximization under Decreasing Cascade Model (Page 2197)
Fang Kong (Shanghai Jiao Tong University)
Jize Xie (Shanghai Jiao Tong University)
Baoxiang Wang (The Chinese University of Hong Kong, Shenzhen)
Tao Yao (Alibaba Inc.)
Shuai Li (Shanghai Jiao Tong University)

Node Conversion Optimization in Multi-hop Influence Networks (Page 2205)
Jie Zhang (University of Bath)
Yuezhou Lv (Impeccable Tech Pte. Ltd.)
Zihe Wang (Renmin University of China)

Decentralized Core-periphery Structure in Social Networks Accelerates Cultural Innovation in Agent-based Modeling (Page 2213)
Jesse Milzman (DEVCOM Army Research Laboratory)
Cody Moser (University of California Merced)

Being an Influencer is Hard: The Complexity of Influence Maximization in Temporal Graphs with a Fixed Source (Page 2222)
Argyrios Deligkas (Royal Holloway, University of London)
Eduard Eiben (Royal Holloway, University of London)
Tiger-Lily Goldsmith (Royal Holloway, University of London)
George Skretas (Hasso Plattner Institute)

Enabling Imitation-Based Cooperation in Dynamic Social Networks (Page 2231)
Jacques Bara (University of Warwick)
Paolo Turrini (University of Warwick)
Giulia Andrighetto (National Research Council)

The Grapevine Web: Analysing the Spread of False Information in Social Networks with Corrupted Sources (Page 2234)
Jacques Bara (University of Warwick)
Charlie Pilgrim (University of Warwick)
Paolo Turrini (University of Warwick)
Stanislav Zhydkov (University of Warwick)

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Session 6F: Norms

The Importance of Credo in Multiagent Learning (Page 2243)
David Radke (University of Waterloo)
Kate Larson (University of Waterloo)
Tim Brecht (University of Waterloo)

Contextual Integrity for Argumentation-based Privacy Reasoning (Page 2253)
Gideon Ogunniye (University College London)
Nadin Kökciyan (University of Edinburgh)

Predicting Privacy Preferences for Smart Devices as Norms (Page 2262)
Marc Serramia (King's College London)
William Seymour (King's College London)
Natalia Criado (Universitat Politècnica de València)
Michael Luck (King's College London)

Agent-directed Runtime Norm Synthesis (Page 2271)
Andreasa Morris-Martin (University of Bath)
Marina De Vos (University of Bath)
Julian Padget (University of Bath)
Oliver Ray (University of Bristol)

Emergence of Norms in Interactions with Complex Rewards (Page 2280)
Dhaminda B. Abeywickrama (University of Bristol)
Nathan Griffiths (University of Warwick)
Zhou Xu (Jaguar Land Rover)
Alex Mouzakitis (Jaguar Land Rover)

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Poster Session I

Evaluating a Mechanism for Explaining BDI Agent Behaviour (Page 2283)
Michael Winikoff (Victoria University of Wellington)
Galina Sidorenko (Halmstad University)

Learning Manner of Execution from Partial Corrections (Page 2286)
Mattias Appelgren (University of Edinburgh)
Alex Lascarides (University of Edinburgh)

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What Do You Care About: Inferring Values from Emotions (Page 2289)
Jieting Luo (University of Bern)
Mehdi Dastani (Utrecht University)
Thomas Studer (University of Bern)
Beishui Liao (Zhejiang University)

'Why didn't you allocate this task to them?' Negotiation-Aware Explicable Task Allocation and Contrastive Explanation Generation (Page 2292)
Zahra Zahedi (Arizona State University)
Sailik Sengupta (AWS AI Labs)
Subbarao Kambhampati (Arizona State University)

Explaining Agent Preferences and Behavior: Integrating Reward Decomposition and Contrastive Highlights (Page 2295)
Yael Septon (Technion)
Yotam Amitai (Technion)
Ofra Amir (Technion)

Explanation Styles for Trustworthy Autonomous Systems (Page 2298)
David A. Robb (Heriot-Watt University)
Xingkun Liu (Heriot-Watt University)
Helen Hastie (Heriot-Watt University)

Modeling the Interpretation of Animations to Help Improve Emotional Expression (Page 2301)
Taíssa Ribeiro (INESC-ID & Instituto Superior Técnico)
Ricardo Rodrigues (INESC-ID & Instituto Superior Técnico)
Carlos Martinho (INESC-ID & Instituto Superior Técnico)

Artificial Prediction Markets Present a Novel Opportunity for Human-AI Collaboration (Page 2304)
Tatiana Chakravorti (The Pennsylvania State University)
Vaibhav Singh (The Pennsylvania State University)
Sarah Rajtmajer (The Pennsylvania State University)
Michael McLaughlin (The Pennsylvania State University)
Robert Fraleigh (The Pennsylvania State University)
Christopher Griffin (The Pennsylvania State University)
Anthony Kwasnica (The Pennsylvania State University)
David Pennock (Rutgers University)
C. Lee Giles (The Pennsylvania State University)

Causal Explanations for Sequential Decision Making Under Uncertainty (Page 2307)
Samer B. Nashed (University of Massachusetts)
Saaduddin Mahmud (University of Massachusetts)
Claudia V. Goldman (General Motors)
Shlomo Zilberstein (University of Massachusetts, Amherst)

Hierarchical Reinforcement Learning with Human-AI Collaborative Sub-Goals Optimization (Page 2310)
Haozhe Ma (National University of Singapore)
Thanh Vinh Vo (National University of Singapore)
Tze-Yun Leong (National University of Singapore)

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Context-aware Agents based on Psychological Archetypes for Teamwork (Page 2313)
Anupama Arukgoda (University of New South Wales)
Erandi Lakshika (University of New South Wales)
Michael Barlow (University of New South Wales)
Kasun Gunawardana (University of Colombo School of Computing)

Personalized Agent Explanations for Human-Agent Teamwork: Adapting Explanations to User Trust, Workload, and Performance (Page 2316)
Ruben S. Verhagen (Delft University of Technology)
Mark A. Neerincx (Delft University of Technology)
Can Parlar (Delft University of Technology)
Marin Vogel (Delft University of Technology)
Myrthe L. Tielman (Delft University of Technology)

A Teachable Agent to Enhance Elderly's Ikigai (Page 2319)
Ping Chen (Nanyang Technological University)
Xinjia Yu (Nanyang Technological University)
Su Fang Lim (Nanyang Technological University)
Zhiqi Shen (Nanyang Technological University)

Improving Human-Robot Team Performance with Proactivity and Shared Mental Models (Page 2322)
Gwendolyn Edgar (Tufts University)
Matthew McWilliams (Tufts University)
Matthias Scheutz (Tufts University)

Towards Explaining Sequences of Actions in Multi-Agent Deep Reinforcement Learning Models (Page 2325)
Khaing Phyo Wai (Singapore Management University)
Minghong Geng (Singapore Management University)
Budhitama Subagdja (Singapore Management University)
Shubham Pateria (Singapore Management University)
Ah-Hwee Tan (Singapore Management University)

Learning Constraints From Human Stop-Feedback in Reinforcement Learning (Page 2328)
Silvia Poletti (University of Padua)
Alberto Testolin (University of Padua)
Sebastian Tschiatschek (University of Vienna)

Goal Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AI (Page 2331)
Malek Mechergui (Colorado State University)
Sarath Sreedharan (Colorado State University)

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Effectiveness of Teamwork-Level Interventions through Decision-Theoretic Reasoning in a Minecraft Search-and-Rescue Task (Page 2334)
David V. Pynadath (University of Southern California)
Nikolos Gurney (University of Southern California)
Sarah Kenny (University of Southern California)
Rajay Kumar (University of Southern California)
Stacy C. Marsella (Northeastern University)
Haley Matuszak (Northeastern University)
Hala Mostafa (Bitsight)
Pedro Sequeira (SRI)
Volkan Ustun (University of Southern California)
Peggy Wu (RTRC)

Hierarchical Reinforcement Learning for Ad Hoc Teaming (Page 2337)
Stéphane Aroca-Ouellette (University of Colorado Boulder)
Miguel Aroca-Ouellette (Independent Researcher)
Upasana Biswas (Arizona State University)
Katharina Kann (University of Colorado Boulder)
Alessandro Roncone (University of Colorado Boulder)

Asynchronous Communication Aware Multi-Agent Task Allocation (Page 2340)
Ben Rachmut (Ben Gurion University of the Negev)
Sofia Amador Nelke (Holon Institute of Technology)
Roie Zivan (Ben Gurion University of the Negev)

Towards Robust Contrastive Explanations for Human-Neural Multi-agent Systems (Page 2343)
Francesco Leofante (Imperial College London)
Alessio Lomuscio (Imperial College London)

Visual Explanations for Defence in Abstract Argumentation (Page 2346)
Sylvie Doutre (IRIT, Toulouse 1 University)
Théo Duchatelle (IRIT, Toulouse 3 University)
Marie-Christine Lagasquie-Schiex (IRIT, Toulouse 3 University)

Minimising Task Tardiness for Multi-Agent Pickup and Delivery (Page 2349)
Saravanan Ramanathan (Nanyang Technological University)
Yihao Liu (Nanyang Technological University)
Xueyan Tang (Nanyang Technological University)
Wentong Cai (Nanyang Technological University)
Jingning Li (NCS Pte Ltd)

Probabilistic Deduction as a Probabilistic Extension of Assumption-based Argumentation (Page 2352)
Xiuyi Fan (Nanyang Technological University)

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Bayes-Adaptive Monte-Carlo Planning for Type-Based Reasoning in Large Partially Observable, Multi-Agent Environments (Page 2355)
Jonathon Schwartz (The Australian National University)
Hanna Kurniawati (The Australian National University)

Blame Attribution for Multi-Agent Pathfinding Execution Failures (Page 2358)
Avraham Natan (Ben-Gurion University of the Negev)
Roni Stern (Ben-Gurion University of the Negev)
Meir Kalech (Ben-Gurion University of the Negev)

A Semantic Approach to Decidability in Epistemic Planning (Page 2361)
Alessandro Burigana (Free University of Bozen-Bolzano)
Paolo Felli (University of Bologna)
Marco Montali (Free University of Bozen-Bolzano)
Nicolas Troquard (Free University of Bozen-Bolzano)

Forward-PECVaR Algorithm: Exact Evaluation for CVaR SSPs (Page 2364)
Willy Arthur Silva Reis (University of São Paulo)
Denis Benevolo Pais (University of São Paulo)
Valdinei Freire (University of São Paulo)
Karina Valdivia Delgado (University of São Paulo)

Explainable Ensemble Classification Model based on Argumentation (Page 2367)
Nadia Abchiche-Mimouni (IBISC, Univ Evry, Université Paris-Saclay)
Leila Amgoud (CNRS -- IRIT)
Farida Zehraoui (IBISC, Univ Evry, Université Paris-Saclay)

Updating Action Descriptions and Plans for Cognitive Agents (Page 2370)
Peter Stringer (University of Manchester)
Rafael C. Cardoso (University of Aberdeen)
Clare Dixon (University of Manchester)
Michael Fisher (University of Manchester)
Louise A. Dennis (University of Manchester)

Argument-based Explanation Functions (Page 2373)
Leila Amgoud (CNRS -- IRIT)
Philippe Muller (Toulouse University -- IRIT)
Henri Trenquier (University of Toulouse - ANITI)

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A Formal Framework for Deceptive Topic Planning in Information-Seeking Dialogues (Page 2376)
Andreas Brännström (Umeå University)
Virginia Dignum (Umeå University)
Juan Carlos Nieves (Umeå University)

Memoryless Adversaries in Imperfect Information Games (Page 2379)
Dhananjay Raju (The University of Texas at Austin)
Georgios Bakirtzis (The University of Texas at Austin)
Ufuk Topcu (The University of Texas at Austin)

Bounded and Unbounded Verification of RNN-Based Agents in Non-deterministic Environments (Page 2382)
Mehran Hosseini (Imperial College London)
Alessio Lomuscio (Imperial College London)

Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments (Page 2385)
Tung Thai (Tufts University)
Mudit Verma (Arizona State University)
Utkarsh Soni (Arizona State University)
Sriram Gopalakrishnan (Arizona State University)
Ming Shen (Arizona State University)
Mayank Garg (Arizona State University)
Ayush Kalani (Arizona State University)
Nakul Vaidya (Arizona State University)
Neeraj Varshney (Arizona State University)
Chitta Baral (Arizona State University)
Subbarao Kambhampati (Arizona State University)
Jivko Sinapov (Tufts University)
Matthias Scheutz (Tufts University)

One-Shot Learning from a Demonstration with Hierarchical Latent Language (Page 2388)
Nathaniel Weir (Johns Hopkins University)
Xingdi Yuan (Microsoft Research)
Marc-Alexandre Côté (Microsoft Research)
Matthew Hausknecht (Microsoft Research)
Romain Laroche (Microsoft Research)
Ida Momennejad (Microsoft Research)
Harm Van Seijen (Microsoft Research)
Benjamin Van Durme (Johns Hopkins University & Microsoft Semantic Machines)

Emergent Compositional Concept Communication through Mutual Information in Multi-Agent Teams (Page 2391)
Seth Karten (Carnegie Mellon University)
Siva Kailas (Carnegie Mellon University)
Katia Sycara (Carnegie Mellon University)

Reasoning about Uncertainty in AgentSpeak using Dynamic Epistemic Logic (Page 2394)
Michael Vezina (Carleton University)
François Schwarzentruber (Univ Rennes)
Babak Esfandiari (Carleton University)
Sandra Morley (Individual Researcher)

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Towards Optimal and Scalable Evacuation Planning Using Data-driven Agent Based Models (Page 2397)
Kazi Ashik Islam (University of Virginia)
Da Qi Chen (University of Virginia)
Madhav Marathe (University of Virginia)
Henning Mortveit (University of Virginia)
Samarth Swarup (University of Virginia)
Anil Vullikanti (University of Virginia)

Intention Progression with Maintenance Goals (Page 2400)
Di Wu (Zhejiang University of Technology)
Yuan Yao (University of Nottingham)
Natasha Alechina (Utrecht University)
Brian Logan (Utrecht University & University of Aberdeen)
John Thangarajah (RMIT University)

Safety Guarantees in Multi-agent Learning via Trapping Regions (Page 2403)
Aleksander Czechowski (Delft University of Technology)
Frans A. Oliehoek (Delft University of Technology)

Multi-Team Fitness Critics For Robust Teaming (Page 2406)
Joshua Cook (Oregon State University)
Tristan Scheiner (Rose-Hulman Institute of Technology)
Kagan Tumer (Oregon State University)

Multi-Agent Deep Reinforcement Learning for High-Frequency Multi-Market Making (Page 2409)
Pankaj Kumar (Copenhagen Business School)

TA-Explore: Teacher-Assisted Exploration for Facilitating Fast Reinforcement Learning (Page 2412)
Ali Beikmohammadi (Stockholm University)
Sindri Magnússon (Stockholm University)

Which way is 'right'?: Uncovering limitations of Vision-and-Language Navigation Models (Page 2415)
Meera Hahn (Google)
Amit Raj (Google)
James M. Rehg (Georgia Institute of Technology)

Learning Individual Difference Rewards in Multi-Agent Reinforcement Learning (Page 2418)
Chen Yang (University of Chinese Academy of Sciences & Institute of Automation, Chinese Academy of Sciences)
Guangkai Yang (University of Chinese Academy of Sciences & Institute of Automation, Chinese Academy of Sciences)
Junge Zhang (University of Chinese Academy of Sciences & Institute of Automation, Chinese Academy of Sciences)

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TiLD: Third-person Imitation Learning by Estimating Domain Cognitive Differences of Visual Demonstrations (Page 2421)
Zixuan Chen (Nanjing University)
Wenbin Li (Nanjing University)
Yang Gao (Nanjing University)
Yiyu Chen (Nanjing University)

Off-Beat Multi-Agent Reinforcement Learning (Page 2424)
Wei Qiu (Nanyang Technological University)
Weixun Wang (Tianjin University)
Rundong Wang (Nanyang Technological University)
Bo An (Nanyang Technological University)
Yujing Hu (NetEase Fuxi AI Lab)
Svetlana Obraztsova (Nanyang Technological University)
Zinovi Rabinovich (Nanyang Technological University)
Jianye Hao (Tianjin University)
Yingfeng Chen (NetEase Fuxi AI Lab)
Changjie Fan (NetEase Fuxi AI Lab)

AJAR: An Argumentation-based Judging Agents Framework for Ethical Reinforcement Learning (Page 2427)
Benoît Alcaraz (University of Luxembourg)
Olivier Boissier (Mines Saint-Etienne, Univ Clermont Auvergne, CNRS, UMR 6158 LIMOS, Institut Henri Fayol)
Rémy Chaput (Univ Lyon, UCBL, CNRS, INSA Lyon, LIRIS, UMR5205)
Christopher Leturc (Inria, Université Côte d'Azur, CNRS, I3S)

Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning (Page 2430)
Pranav Khanna (Indian Institute of Technology)
Guy Tennenholtz (Technion)
Nadav Merlis (Technion)
Shie Mannor (Technion & NVIDIA)
Chen Tessler (NVIDIA)

Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning (Page 2433)
Matthias Gerstgrasser (Harvard University)
Tom Danino (Technion - Israel Institute of Technology)
Sarah Keren (Technion - Israel Institute of Technology)

The Challenge of Redundancy on Multi-agent Value Factorisation (Page 2436)
Siddarth Shandeep Singh (Instadeep Ltd)
Benjamin Rosman (The University of the Witwatersrand)

Robust Ordinal Regression for Collaborative Preference Learning with Opinion Synergies (Page 2439)
Hugo Gilbert (Université Paris-Dauphine & Université PSL, CNRS, LAMSADE)
Mohamed Ouaguenouni (Sorbonne Université, CNRS, LIP6)
Meltem Öztürk (Université Paris-Dauphine & Université PSL, CNRS, LAMSADE)
Olivier Spanjaard (Sorbonne Université, CNRS, LIP6)

Off-the-Grid MARL: Datasets and Baselines for Offline Multi-Agent Reinforcement Learning (Page 2442)
Claude Formanek (InstaDeep & University of Cape Town)
Asad Jeewa (University of KwaZulu-Natal)
Jonathan Shock (University of Cape Town, NiTheCS, & INRS Montreal)
Arnu Pretorius (InstaDeep)

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Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games (Page 2445)
Zun Li (DeepMind & University of Michigan)
Marc Lanctot (DeepMind)
Kevin R. McKee (DeepMind)
Luke Marris (DeepMind)
Ian Gemp (DeepMind)
Daniel Hennes (DeepMind)
Kate Larson (University of Waterloo & DeepMind)
Yoram Bachrach (DeepMind)
Michael P. Wellman (University of Michigan)
Paul Muller (DeepMind)

Grey-box Adversarial Attack on Communication in Multi-agent Reinforcement Learning (Page 2448)
Xiao Ma (Nanjing University)
Wu-Jun Li (Nanjing University)

Reward-Machine-Guided, Self-Paced Reinforcement Learning (Page 2451)
Cevahir Koprulu (The University of Texas at Austin)
Ufuk Topcu (The University of Texas at Austin)

Centralized Cooperative Exploration Policy for Continuous Control Tasks (Page 2454)
Chao Li (Institute of Automation, Chinese Academy of Sciences)
Chen Gong (Institute of Automation, Chinese Academy of Sciences)
Qiang He (University of Tubingen)
Xinwen Hou (Institute of Automation, Chinese Academy of Sciences)
Yu Liu (Institute of Automation, Chinese Academy of Sciences)

Do As You Teach: A Multi-Teacher Approach to Self-Play in Deep Reinforcement Learning (Page 2457)
Chaitanya Kharyal (Microsoft)
Tanmay Sinha (Microsoft Research)
Sai Krishna Gottipati (AI Redefined)
Fatemeh Abdollahi (University of Alberta)
Srijita Das (University of Alberta)
Matthew E. Taylor (University of Alberta)

PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning (Page 2460)
Jizhou Wu (Tianjin University)
Tianpei Yang (University of Alberta & Alberta Machine Intelligence Institute)
Xiaotian Hao (Tianjin University)
Jianye Hao (Tianjin University)
Yan Zheng (Tianjin University)
Weixun Wang (Tianjin University)
Matthew E. Taylor (University of Alberta & Alberta Machine Intelligence Institute)

AI-driven Prices for Externalities and Sustainability in Production Markets (Page 2463)
Panayiotis Danassis (Harvard University)
Aris Filos-Ratsikas (University of Edinburgh)
Haipeng Chen (William & Mary)
Milind Tambe (Harvard University)
Boi Faltings (EPFL)

For One and All: Individual and Group Fairness in the Allocation of Indivisible Goods (Page 2466)
Jonathan Scarlett (National University of Singapore)
Nicholas Teh (University of Oxford)
Yair Zick (University of Massachusetts, Amherst)

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Matching Algorithms under Diversity-Based Reservations (Page 2469)
Haris Aziz (UNSW Sydney)
Sean Morota Chu (UNSW Sydney)
Zhaohong Sun (Cyberagent Inc.)

Social Mechanism Design: A Low-Level Introduction (Page 2472)
Ben Abramowitz (Tulane University)
Nicholas Mattei (Tulane University)

Online 2-stage Stable Matching (Page 2475)
Evripidis Bampis (Sorbonne Université, CNRS, LIP6)
Bruno Escoffier (Sorbonne Université, CNRS, LIP6 & Institut Universitaire de France)
Paul Youssef (Université Grenoble Alpes, LIG)

Strategic Play By Resource-Bounded Agents in Security Games (Page 2478)
Xinming Liu (Massachusetts Institute of Technology)
Joseph Y. Halpern (Cornell University)

Neural Stochastic Agent-Based Limit Order Book Simulation: A Hybrid Methodology (Page 2481)
Zijian Shi (University of Bristol)
John Cartlidge (University of Bristol)

Regularization for Strategy Exploration in Empirical Game-Theoretic Analysis (Page 2484)
Yongzhao Wang (University of Michigan)
Michael P. Wellman (University of Michigan)

A Scalable Opponent Model Using Bayesian Learning for Automated Bilateral Multi-Issue Negotiation (Page 2487)
Shengbo Chang (Tokyo University of Agriculture and Technology)
Katsuhide Fujita (Tokyo University of Agriculture and Technology)

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Poster Session II

Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO (Page 2490)
Yangkun Chen (Shenzhen International Graduate School, Tsinghua University & Parametrix.ai.)
Joseph Suarez (Massachusetts Institute of Technology)
Junjie Zhang (Shenzhen International Graduate School, Tsinghua University & Parametrix.ai.)
Chenghui Yu (Shenzhen International Graduate School, Tsinghua University & Parametrix.ai.)
Bo Wu (Parametrix.ai)
Hanmo Chen (Shenzhen International Graduate School, Tsinghua University & Parametrix.ai.)
Hengman Zhu (Parametrix.ai)
Rui Du (bilibili.)
Shanliang Qian (bilibili.)
Shuai Liu (bilibili.)
Weijun Hong (NetEase Games AI Lab)
Jinke He (Delft University of Technology)
Yibing Zhang (Chengdu Goldwin Electronics Technology Co., Ltd)
Liang Zhao (International Digital Economy Academy)
Clare Zhu (Stanford University)
Julian Togelius (New York University)
Sharada Mohanty (AICrowd)
Jiaxin Chen (Parametrix.ai)
Xiu Li (Shenzhen International Graduate School, Tsinghua University)
Xiaolong Zhu (Parametrix.ai)
Phillip Isola (Massachusetts Institute of Technology)

SE4AI Issues on Designing a Social Media Agent: Agile Use Case Design for Behavioral Game Theory (Page 2493)
Francisco S. Marcondes (U. of Minho)
José João Almeida (U. of Minho)
Paulo Novais (U. of Minho)

Modeling Application Scenarios for Responsible Autonomy using Computational Transcendence (Page 2496)
Jayati Deshmukh (International Institute of Information Technology, Bangalore)
Nikitha Adivi (International Institute of Information Technology, Bangalore)
Srinath Srinivasa (International Institute of Information Technology, Bangalore)

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Domain-Expert Configuration of Hypermedia Multi-Agent Systems in Industrial Use Cases (Page 2499)
Jérémy Lemée (University of St. Gallen)
Samuele Burattini (Università di Bologna)
Simon Mayer (University of St. Gallen)
Andrei Ciortea (University of St. Gallen)

Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response of Residential Loads (Page 2502)
Vincent Mai (Université de Montréal)
Philippe Maisonneuve (Polytechnique Montréal)
Tianyu Zhang (Université de Montréal)
Hadi Nekoei (Université de Montréal)
Liam Paull (Université de Montréal)
Antoine Lesage-Landry (Polytechnique Montréal)

The Swiss Gambit (Page 2505)
Ágnes Cseh (University of Bayreuth & Institute of Economics, Centre for Economic and Regional Studies)
Pascal Führlich (Potsdam Institute for Climate Impact Research)
Pascal Lenzner (Hasso Plattner Institute, University of Potsdam)

An Adversarial Strategic Game for Machine Learning as a Service using System Features (Page 2508)
Guoxin Sun (University of Melbourne)
Tansu Alpcan (University of Melbourne)
Seyit Camtepe (CSIRO Data61)
Andrew C. Cullen (University of Melbourne)
Benjamin I.P. Rubinstein (University of Melbourne)

Optimizing Crop Management with Reinforcement Learning and Imitation Learning (Page 2511)
Ran Tao (University of Illinois at Urbana-Champaign)
Pan Zhao (University of Illinois at Urbana-Champaign)
Jing Wu (University of Illinois at Urbana-Champaign)
Nicolas F. Martin (University of Illinois at Urbana-Champaign)
Matthew T. Harrison (University of Tasmania)
Carla Ferreira (Stockholm University)
Zahra Kalantari (KTH Royal Institute of Technology)
Naira Hovakimyan (University of Illinois at Urbana-Champaign)

A Novel Aggregation Framework for the Efficient Integration of Distributed Energy Resources in the Smart Grid (Page 2514)
Stavros Orfanoudakis (Delft University of Technology)
Georgios Chalkiadakis (Technical University of Crete)

Near Optimal Strategies for Honeypots Placement in Dynamic and Large Active Directory Networks (Page 2517)
Huy Q. Ngo (The University of Adelaide)
Mingyu Guo (The University of Adelaide)
Hung Nguyen (The University of Adelaide)

A Novel Demand Response Model and Method for Peak Reduction in Smart Grids - PowerTAC (Page 2520)
Sanjay Chandlekar (International Institute of Information Technology, Hyderabad)
Arthik Boroju (Indian Institute of Technology Ropar)
Shweta Jain (Indian Institute of Technology Ropar)
Sujit Gujar (International Institute of Information Technology, Hyderabad)

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Shopping Assistance for Everyone: Dynamic Query Generation On a Semantic Digital Twin As a Basis for Autonomous Shopping Assistance (Page 2523)
Michaela Kümpel (University of Bremen)
Jonas Dech (University of Bremen)
Alina Hawkin (University of Bremen)
Michael Beetz (University of Bremen)

Counterfactually Fair Dynamic Assignment: A Case Study on Policing (Page 2526)
Tasfia Mashiat (George Mason University)
Xavier Gitiaux (George Mason University)
Huzefa Rangwala (George Mason University)
Sanmay Das (George Mason University)

A Cloud-Based Solution for Multi-Agent Traffic Control Systems (Page 2529)
Chikadibia Ihejimba (The University of Texas at Dallas)
Behnan Torabi (The University of Texas at Dallas)
Rym Z. Wenkstern (The University of Texas at Dallas)

Balancing Fairness and Efficiency in Transport Network Design through Reinforcement Learning (Page 2532)
Dimitris Michailidis (University of Amsterdam)
Sennay Ghebreab (University of Amsterdam)
Fernando P. Santos (University of Amsterdam)

From Abstractions to Grounded Languages for Robust Coordination of Task Planning Robots (Page 2535)
Yu Zhang (Arizona State University)

Idleness Estimation for Distributed Multiagent Patrolling Strategies (Page 2538)
Mehdi William Othmani-Guibourg (ONERA and Sorbone University)
Jean-Loup Farges (ONERA)
Amal El Fallah Seghrouchni (LIP6 - University of Pierre and Marie Curie)

Simpler rather than Challenging: Design of Non-Dyadic Human-Robot Collaboration to Mediate Human-Human Concurrent Tasks (Page 2541)
Francesco Semeraro (The University of Manchester)
Jon Carberry (BAE Systems (Operations) Ltd.)
Angelo Cangelosi (The University of Manchester)

Learning to Self-Reconfigure for Freeform Modular Robots via Altruism Multi-Agent Reinforcement Learning (Page 2544)
Lei Wu (Northwestern Polytechnical University)
Bin Guo (Northwestern Polytechnical University)
Qiuyun Zhang (Northwestern Polytechnical University)
Zhuo Sun (Northwestern Polytechnical University)
Jieyi Zhang (Northwestern Polytechnical University)
Zhiwen Yu (Northwestern Polytechnical University)

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Learning Multiple Tasks with Non-stationary Interdependencies in Autonomous Robots (Page 2547)
Alejandro Romero (Universidade da Coruña)
Gianluca Baldassarre (National Research Council of Italy)
Richard J. Duro (Universidade da Coruña)
Vieri Giuliano Santucci (National Research Council of Italy)

Provably Manipulable 3D Structures using Graph Theory (Page 2550)
John Harwell (University of Minnesota)
London Lowmanstone (University of Minnesota)
Maria Gini (University of Minnesota)

HoLA Robots: Mitigating Plan-Deviation Attacks in Multi-Robot Systems with Co-Observations and Horizon-Limiting Announcements (Page 2553)
Kacper Wardega (Boston University)
Max von Hippel (Boston University)
Roberto Tron (Boston University)
Cristina Nita-Rotaru (Boston University)
Wenchao Li (Boston University)

Online Re-Planning and Adaptive Parameter Update for Multi-Agent Path Finding with Stochastic Travel Times (Page 2556)
Atsuyoshi Kita (Panasonic Holdings Corporation)
Nobuhiro Suenari (Panasonic Holdings Corporation)
Masashi Okada (Panasonic Holdings Corporation)
Tadahiro Taniguchi (Ritsumeikan University & Panasonic Holdings Corporation)

RTransNav:Relation-wise Transformer Network for More Successful Object Goal Navigation (Page 2559)
Kang Zhou (Wuhan University)
Chi Guo (Wuhan University & Hubei Luojia Laboratory)
Huyin Zhang (Wuhan University)
Wenfei Guo (Wuhan University)

Multi-Agent Pickup and Delivery in Presence of Another Team of Robots (Page 2562)
Benedetta Flammini (Politecnico di Milano)
Davide Azzalini (Politecnico di Milano)
Francesco Amigoni (Politecnico di Milano)

Reward Relabelling for Combined Reinforcement and Imitation Learning on Sparse-reward Tasks (Page 2565)
Jesús Bujalance (MINES ParisTech, PSL University)
Fabien Moutarde (MINES ParisTech, PSL University)

Connectivity Enhanced Safe Neural Network Planner for Lane Changing in Mixed Traffic (Page 2568)
Xiangguo Liu (Northwestern University)
Ruochen Jiao (Northwestern University)
Bowen Zheng (Pony.ai)
Dave Liang (Pony.ai)
Qi Zhu (Northwestern University)

Bringing Diversity to Autonomous Vehicles: An Interpretable Multi-vehicle Decision-making and Planning Framework (Page 2571)
Licheng Wen (Shanghai AI Laboratory)
Pinlong Cai (Shanghai AI Laboratory)
Daocheng Fu (Shanghai AI Laboratory)
Song Mao (Shanghai AI Laboratory)
Yikang Li (Shanghai AI Laboratory)

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Loss of Distributed Coverage Using Lazy Agents Operating Under Discrete, Local, Event-Triggered Communication (Page 2574)
Edward Vickery (SHL)
Aditya A. Paranjape (Tata Consultancy Services Ltd.)

Multi-Agent Path Finding via Reinforcement Learning with Hybrid Reward (Page 2577)
Cheng Zhao (University of Sci. & Tech. of China)
Liansheng Zhuang (University of Sci. & Tech. of China)
Haonan Liu (University of Sci. & Tech. of China)
Yihong Huang (University of Sci. & Tech. of China)
Jian Yang (Beijing Institute of Technology)

Multi-Agent Pickup and Delivery with Task Probability Distribution (Page 2580)
Andrea Di Pietro (Politecnico di Milano)
Nicola Basilico (Università degli Studi di Milano)
Francesco Amigoni (Politecnico di Milano)

Minimally Constraining Line-of-Sight Connectivity Maintenance for Collision-free Multi-Robot Networks under Uncertainty (Page 2583)
Yupeng Yang (University of North Carolina at Charlotte)
Yiwei Lyu (Carnegie Mellon University)
Wenhao Luo (University of North Carolina at Charlotte)

Multi-Agent Path Finding with Time Windows: Preliminary Results (Page 2586)
Jianqi Gao (Harbin Institute of Technology (Shenzhen))
Qi Liu (Harbin Institute of Technology (Shenzhen))
Shiyu Chen (Harbin Institute of Technology (Shenzhen))
Kejian Yan (Harbin Institute of Technology (Shenzhen))
Xinyi Li (Harbin Institute of Technology (Shenzhen))
Yanjie Li (Harbin Institute of Technology (Shenzhen))

Two-Level Actor-Critic Using Multiple Teachers (Page 2589)
Su Zhang (Washington State University)
Srijita Das (University of Alberta)
Sriram Ganapathi Subramanian (Vector Institute & University of Waterloo)
Matthew E. Taylor (University of Alberta)

Provably Efficient Offline RL with Options (Page 2592)
Xiaoyan Hu (The Chinese University of Hong Kong)
Ho-fung Leung (The Chinese University of Hong Kong)

Learning to Perceive in Deep Model-Free Reinforcement Learning (Page 2595)
Gonçalo Querido (INESC-ID & Instituto Superior Técnico)
Alberto Sardinha (INESC-ID, Instituto Superior Técnico, & PUC-Rio)
Francisco S. Melo (INESC-ID & Instituto Superior Técnico)

SCRIMP: Scalable Communication for Reinforcement- and Imitation-Learning-Based Multi-Agent Pathfinding (Page 2598)
Yutong Wang (National University of Singapore)
Bairan Xiang (National University of Singapore)
Shinan Huang (National University of Singapore)
Guillaume Sartoretti (National University of Singapore)

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Learning Group-Level Information Integration in Multi-Agent Communication (Page 2601)
Xiangrui Meng (Peking University)
Ying Tan (Peking University)

Learnability with PAC Semantics for Multi-agent Beliefs (Page 2604)
Ionela G. Mocanu (The University of Edinburgh)
Vaishak Belle (The University of Edinburgh)
Brendan Juba (Washington University in St. Louis)

Improving Cooperative Multi-Agent Exploration via Surprise Minimization and Social Influence Maximization (Page 2607)
Mingyang Sun (Dalian University of Technology)
Yaqing Hou (Dalian University of Technology)
Jie Kang (Dalian University of Technology)
Haiyin Piao (Northwestern Polytechnical University)
Yifeng Zeng (Northumbria University)
Hongwei Ge (Dalian University of Technology)
Qiang Zhang (Dalian University of Technology)

Learning to Operate in Open Worlds by Adapting Planning Models (Page 2610)
Wiktor Piotrowski (Palo Alto Research Center)
Roni Stern (Ben-Gurion University)
Yoni Sher (Palo Alto Research Center)
Jacob Le (Palo Alto Research Center)
Matthew Klenk (Toyota Research Institute)
Johan deKleer (Palo Alto Research Center)
Shiwali Mohan (Palo Alto Research Center)

End-to-End Optimization and Learning for Multiagent Ensembles (Page 2613)
James Kotary (Syracuse University)
Vincenzo Di Vito (Syracuse University)
Ferdinando Fioretto (Syracuse University)

Optimal Decoy Resource Allocation for Proactive Defense in Probabilistic Attack Graphs (Page 2616)
Haoxiang Ma (University of Florida)
Shuo Han (University of Illinois Chicago)
Nandi Leslie (Raytheon Technologies)
Charles Kamhoua (US Army Research Laboratory)
Jie Fu (University of Florida)

Referential Communication in Heterogeneous Communities of Pre-trained Visual Deep Networks (Page 2619)
Matéo Mahaut (Universitat Pompeu Fabra)
Francesca Franzon (Universitat Pompeu Fabra)
Roberto Dessì (Universitat Pompeu Fabra & Meta AI)
Marco Baroni (Universitat Pompeu Fabra & ICREA)

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A Learning Approach to Complex Contagion Influence Maximization (Page 2622)
Haipeng Chen (William & Mary)
Bryan Wilder (Carnegie Mellon University)
Wei Qiu (Nanyang Technological University)
Bo An (Nanyang Technological University)
Eric Rice (University of Southern California)
Milind Tambe (Harvard University)

Analyzing the Sensitivity to Policy-Value Decoupling in Deep Reinforcement Learning Generalization (Page 2625)
Nasik Muhammad Nafi (Kansas State University)
Raja Farrukh Ali (Kansas State University)
William Hsu (Kansas State University)

Reinforcement Learning with Depreciating Assets (Page 2628)
Taylor Dohmen (University of Colorado)
Ashutosh Trivedi (University of Colorado)

Matching Options to Tasks using Option-Indexed Hierarchical Reinforcement Learning (Page 2631)
Kushal Chauhan (Google Research)
Soumya Chatterjee (Google Research)
Akash Reddy (IIT Madras)
Aniruddha S (IIT Madras)
Balaraman Ravindran (IIT Madras)
Pradeep Shenoy (Google Research)

DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization (Page 2634)
Wenze Chen (Tsinghua University)
Shiyu Huang (Tsinghua University)
Yuan Chiang (Tsinghua University)
Ting Chen (Tsinghua University)
Jun Zhu (Tsinghua University)

Accelerating Neural MCTS Algorithms using Neural Sub-Net Structures (Page 2637)
Prashank Kadam (Vesta Corporation)
Ruiyang Xu (Northeastern University)
Karl Lieberherr (Northeastern University)

Provably Efficient Convergence of Primal-Dual Actor-Critic with Nonlinear Function Approximation (Page 2640)
Jing Dong (The Chinese University of Hong Kong, Shenzhen)
Li Shen (JD Explore Academy)
Yinggan Xu (The Chinese University of Hong Kong, Shenzhen)
Baoxiang Wang (The Chinese University of Hong Kong, Shenzhen)

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Achieving Near-optimal Regrets in Confounded Contextual Bandits (Page 2643)
Xueping Gong (HKUST)
Jiheng Zhang (HKUST)

Proportional Fairness in Obnoxious Facility Location (Page 2646)
Haris Aziz (UNSW Sydney)
Alexander Lam (UNSW Sydney)
Bo Li (Hong Kong Polytechnic University)
Fahimeh Ramezani (UNSW Sydney)
Toby Walsh (UNSW Sydney)

Distortion in Attribute Approval Committee Elections (Page 2649)
Dorothea Baumeister (Heinrich-Heine-Universität)
Linus Boes (Heinrich-Heine-Universität)

Relaxations of Envy-Freeness Over Graphs (Page 2652)
Justin Payan (University of Massachusetts, Amherst)
Rik Sengupta (University of Massachusetts, Amherst)
Vignesh Viswanathan (University of Massachusetts, Amherst)

Fairly Allocating (Contiguous) Dynamic Indivisible Items with Few Adjustments (Page 2655)
Mingwei Yang (Peking University)

Measuring a Priori Voting Power - Taking Delegations Seriously (Page 2658)
Rachael Colley (IRIT - Université Toulouse 1 Capitole)
Théo Delemazure (Lamsade - Université Paris Dauphine)
Hugo Gilbert (Lamsade - Université Paris Dauphine)

Sampling-Based Winner Prediction in District-Based Elections (Page 2661)
Debajyoti Kar (Indian Institute of Science, Bangalore)
Palash Dey (Indian Institute of Technology, Kharagpur)
Swagato Sanyal (Indian Institute of Technology, Kharagpur)

Cedric: A Collaborative DDoS Defense System Using Credit (Page 2664)
Jiawei Li (Tsinghua University)
Hui Wang (Tsinghua University & ZGC Lab)
Jilong Wang (Tsinghua University & ZGC Lab)

Social Aware Coalition Formation with Bounded Coalition Size (Page 2667)
Chaya Levinger (Ariel University)
Amos Azaria (Ariel University)
Noam Hazon (Ariel University)

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Repeatedly Matching Items to Agents Fairly and Efficiently (Page 2670)
Ioannis Caragiannis (Aarhus University)
Shivika Narang (Indian Institute of Science)

The Complexity of Minimizing Envy in House Allocation (Page 2673)
Jayakrishnan Madathil (University of Glasgow)
Neeldhara Misra (IIT Gandhinagar)
Aditi Sethia (IIT Gandhinagar)

Error in the Euclidean Preference Model (Page 2676)
Luke Thorburn (King's College London)
Maria Polukarov (King's College London)
Carmine Ventre (King's College London)

Distance Hypergraph Polymatrix Coordination Games (Page 2679)
Alessandro Aloisio (Università degli Studi Internazionali di Roma & Gran Sasso Science Institute)

Search versus Search for Collapsing Electoral Control Types (Page 2682)
Benjamin Carleton (Cornell University)
Michael C. Chavrimootoo (University of Rochester)
Lane A. Hemaspaandra (University of Rochester)
David E. Narváez (University of Rochester)
Conor Taliancich (Property Matrix)
Henry B. Welles (University of Rochester)

Does Delegating Votes Protect Against Pandering Candidates? (Page 2685)
Xiaolin Sun (Tulane University)
Jacob Masur (Tulane University)
Ben Abramowitz (Tulane University)
Nicholas Mattei (Tulane University)
Zizhan Zheng (Tulane University)

Resilient Fair Allocation of Indivisible Goods (Page 2688)
Dolev Mutzari (Bar Ilan University)
Yonatan Aumann (Bar Ilan University)
Sarit Kraus (Bar Ilan University)

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Stability of Weighted Majority Voting under Estimated Weights (Page 2691)
Shaojie Bai (Zhejiang University)
Dongxia Wang (Zhejiang University)
Tim Muller (University of Nottingham)
Peng Cheng (Zhejiang University)
Jiming Chen (Zhejiang University)

Indivisible Participatory Budgeting with Multiple Degrees of Sophistication of Projects (Page 2694)
Gogulapati Sreedurga (Indian Institute of Science)

Incentivizing Sequential Crowdsourcing Systems (Page 2697)
Yuan Luo (The Chinese University of Hong Kong (Shenzhen) & Shenzhen Institute of Artificial Intelligence and Robotics for Society)

No-regret Learning Dynamics for Sequential Correlated Equilibria (Page 2700)
Hugh Zhang (Harvard University)

Fair Pricing for Time-Flexible Smart Energy Markets (Page 2703)
Roland Saur (Centrum Wiskunde & Informatica and TU Delft)
Han La Poutré (Centrum Wiskunde & Informatica and TU Delft)
Neil Yorke-Smith (TU Delft)

Budget-Feasible Mechanism Design for Cost-Benefit Optimization in Gradual Service Procurement (Page 2706)
Farzaneh Farhadi (Aston University)
Maria Chli (Aston University)
Nicholas R. Jennings (Loughborough University)

Analysis of a Learning Based Algorithm for Budget Pacing (Page 2709)
MohammadTaghi Hajiaghayi (University of Maryland)
Max Springer (University of Maryland)

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Finding Optimal Nash Equilibria in Multiplayer Games via Correlation Plans (Page 2712)
Youzhi Zhang (Hong Kong Institute of Science & Innovation, CAS)
Bo An (Nanyang Technological University)
V.S. Subrahmanian (Northwestern University)

Diffusion Multi-unit Auctions with Diminishing Marginal Utility Buyers (Page 2715)
Haolin Liu (University of Virginia)
Xinyuan Lian (ShanghaiTech University)
Dengji Zhao (ShanghaiTech University)

Improving Quantal Cognitive Hierarchy Model Through Iterative Population Learning (Page 2718)
Yuhong Xu (Singapore Management University)
Shih-Fen Cheng (Singapore Management University)
Xinyu Chen (Singapore Management University)

A Nash-Bargaining-Based Mechanism for One-Sided Matching Markets and Dichotomous Utilities (Page 2721)
Jugal Garg (University of Illinois at Urbana-Champaign)
Thorben Tröbst (University of California, Irvine)
Vijay V. Vazirani (University of California, Irvine)

Differentially Private Diffusion Auction: The Single-unit Case (Page 2724)
Fengjuan Jia (University of Electronic Science and Technology of China)
Mengxiao Zhang (University of Electronic Science and Technology of China)
Jiamou Liu (The University of Auckland)
Bakh Khoussainov (University of Electronic Science and Technology of China)

Learning in Teams: Peer Evaluation for Fair Assessment of Individual Contributions (Page 2727)
Fedor Duzhin (Naynang Technological University)

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Poster Session III

Agent-based Simulation of District-based Elections with Heterogeneous Populations (Page 2730)
Adway Mitra (Indian Institute of Technology Kharagpur)

Deep Learning-based Spatially Explicit Emulation of an Agent-Based Simulator for Pandemic in a City (Page 2733)
Varun Madhavan (Indian Institute of Technology Kharagpur)
Adway Mitra (Indian Institute of Technology Kharagpur)
Partha Pratim Chakrabarti (Indian Institute of Technology Kharagpur)

A Decentralized Agent-Based Task Scheduling Framework for Handling Uncertain Events in Fog Computing (Page 2736)
Yikun Yang (University of Wollongong)
Fenghui Ren (University of Wollongong)
Minjie Zhang (University of Wollongong)

Co-evolution of Social and Non-social Guilt in Structured Populations (Page 2739)
Theodor Cimpeanu (University of St Andrews)
Luís Moniz Pereira (Universidade Nova de Lisboa)
The Anh Han (Teesside Univeresity)

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Phantom - A RL-driven Multi-Agent Framework to Model Complex Systems (Page 2742)
Leo Ardon (J.P. Morgan AI Research)
Jared Vann (J.P. Morgan AI Research)
Deepeka Garg (J.P. Morgan AI Research)
Thomas Spooner (Sutter Hill Ventures)
Sumitra Ganesh (J.P. Morgan AI Research)

Simulation Model with Side Trips at a Large-Scale Event (Page 2745)
Ryo Niwa (University of Tsukuba)
Shunki Takami (University of Tsukuba)
Shusuke Shigenaka (University of Tsukuba)
Masaki Onishi (AIST)
Wataru Naito (AIST)
Tetsuo Yasutaka (AIST)

The Price of Algorithmic Pricing: Investigating Collusion in a Market Simulation with AI Agents (Page 2748)
Michael Schlechtinger (University of Mannheim)
Damaris Kosack (University of Mannheim)
Heiko Paulheim (University of Mannheim)
Thomas Fetzer (University of Mannheim)
Franz Krause (University of Mannheim)

Crowd Simulation Incorporating a Route Choice Model and Similarity Evaluation using Real Large-scale Data (Page 2751)
Ryo Nishida (National Institute of Advanced Industrial Science and Technology)
Masaki Onishi (National Institute of Advanced Industrial Science and Technology)
Koichi Hashimoto (Tohoku University)

Capturing Hiders with Moving Obstacles (Page 2754)
Ayushman Panda (IIIT-Hyderabad)
Kamalakar Karlapalem (IIIT-Hyderabad)

COBAI : A Generic Agent-based Model of Human Behaviors Centered on Contexts and Interactions (Page 2757)
Maëlle Beuret (Université de Bourgogne-Franche-Comté)
Irène Foucherot (Université de Bourgogne-Franche-Comté)
Christian Gentil (Université de Bourgogne-Franche-Comté)
Joël Savelli (Université de Bourgogne-Franche-Comté)

Learning Solutions in Large Economic Networks using Deep Multi-Agent Reinforcement Learning (Page 2760)
Michael Curry (University of Zurich)
Alexander Trott (Salesforce Research)
Soham Phade (Salesforce Research)
Yu Bai (Salesforce Research)
Stephan Zheng (Salesforce Research)

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Opinion Dynamics in Populations of Converging and Polarizing Agents (Page 2763)
Anshul Toshniwal (University of Amsterdam)
Fernando P. Santos (University of Amsterdam)

On a Voter Model with Context-Dependent Opinion Adoption (Page 2766)
Luca Becchetti (Sapienza University of Rome)
Vincenzo Bonifaci (Roma Tre University)
Emilio Cruciani (University of Salzburg)
Francesco Pasquale (University of Rome "Tor Vergata")

Cognitive Bias-Aware Dissemination Strategies for Opinion Dynamics with External Information Sources (Page 2769)
Abdullah Al Maruf (University of Washington)
Luyao Niu (University of Washington)
Bhaskar Ramasubramanian (Western Washington University)
Andrew Clark (University of Washington)
Radha Poovendran (University of Washington)

Feature-based Individual Fairness in k-clustering (Page 2772)
Debajyoti Kar (IIT Kharagpur)
Mert Kosan (UC Santa Barbara)
Debmalya Mandal (MPI-SWS)
Sourav Medya (University of Illinois Chicago)
Arlei Silva (Rice University)
Palash Dey (IIT Kharagpur)
Swagato Sanyal (IIT Kharagpur)

Fair Facility Location for Socially Equitable Representation (Page 2775)
Helen Sternbach (The Hebrew University)
Sara Cohen (The Hebrew University)

S&F: Sources and Facts Reliability Evaluation Method (Page 2778)
Quentin Elsaesser (CRIL - CNRS, Université d'Artois)
Patricia Everaere (CRIStAL, Université de Lille)
Sébastien Konieczny (CRIL - CNRS, Université d'Artois)

Offline Multi-Agent Reinforcement Learning with Coupled Value Factorization (Page 2781)
Xiangsen Wang (Beijing Jiaotong University)
Xianyuan Zhan (Tsinghua University)

Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas (Page 2784)
Yun Hua (East China Normal University)
Shang Gao (East China Normal University)
Wenhao Li (The Chinese University of Hong Kong, Shenzhen)
Bo Jin (Tongji University)
Xiangfeng Wang (East China Normal University)
Hongyuan Zha (The Chinese University of Hong Kong, Shenzhen & Shenzhen Institute of AI and Robotics for Society)

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PACCART: Reinforcing Trust in Multiuser Privacy Agreement Systems (Page 2787)
Daan Di Scala (Utrecht University)
Pinar Yolum (Utrecht University)

Explain to Me: Towards Understanding Privacy Decisions (Page 2790)
Gonul Ayci (Bogazici University)
Arzucan Özgür (Bogazici University)
Murat Şensoy (Ozyegin University)
Pınar Yolum (Utrecht University)

The Resilience Game: A New Formalization of Resilience for Groups of Goal-Oriented Autonomous Agents (Page 2792)
Michael A. Goodrich (Brigham Young University)
Jennifer Leaf (Oregon State University)
Julie A. Adams (Oregon State University)
Matthias Scheutz (Tufts University)

Differentially Private Network Data Collection for Influence Maximization (Page 2795)
M. Amin Rahimian (University of Pittsburgh)
Fang-Yi Yu (George Mason University)
Carlos Hurtado (University of Pittsburgh)

Inferring Implicit Trait Preferences from Demonstrations of Task Allocation in Heterogeneous Teams (Page 2798)
Vivek Mallampati (Georgia Institute of Technology)
Harish Ravichandar (Georgia Institute of Technology)

From Scripts to RL Environments: Towards Imparting Commonsense Knowledge to RL Agents (Page 2801)
Abhinav Joshi (IIT Kanpur)
Areeb Ahmad (IIT Kanpur)
Umang Pandey (IIT Kanpur)
Ashutosh Modi (IIT Kanpur)

Hierarchical Reinforcement Learning with Attention Reward (Page 2804)
Sihong Luo (Beijing University of Post and Telecommunication)
Jinghao Chen (Beijing University of Post and Telecommunication)
Zheng Hu (Beijing University of Post and Telecommunication)
Chunhong Zhang (Beijing University of Post and Telecommunication)
Benhui Zhuang (Beijing University of Post and Telecommunication)

Towards Multi-agent Learning of Causal Networks (Page 2807)
Stefano Mariani (University of Modena and Reggio Emilia)
Pasquale Roseti (University of Modena and Reggio Emilia)
Franco Zambonelli (University of Modena and Reggio Emilia)

FedHQL: Federated Heterogeneous Q-Learning (Page 2810)
Flint Xiaofeng Fan (National University of Singapore)
Yining Ma (National University of Singapore)
Zhongxiang Dai (National University of Singapore)
Cheston Tan (I2R, A*STAR)
Bryan Kian Hsiang Low (National University of Singapore)

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Know Your Enemy: Identifying and Adapting to Adversarial Attacks in Deep Reinforcement Learning (Page 2813)
Seán Caulfield Curley (University of Galway)
Karl Mason (University of Galway)
Patrick Mannion (University of Galway)

Transformer Actor-Critic with Regularization: Automated Stock Trading using Reinforcement Learning (Page 2815)
Namyeong Lee (Hanyang University)
Jun Moon (Hanyang University)

Model-Based Actor-Critic for Multi-Objective Reinforcement Learning with Dynamic Utility Functions (Page 2818)
Johan Källström (Linköping University)
Fredrik Heintz (Linköping University)

Relaxed Exploration Constrained Reinforcement Learning (Page 2821)
Shahaf S. Shperberg (Ben-Gurion University)
Bo Liu (The University of Texas at Austin)
Peter Stone (The University of Texas at Austin)

Causality Detection for Efficient Multi-Agent Reinforcement Learning (Page 2824)
Rafael Pina (Loughborough University London)
Varuna De Silva (Loughborough University London)
Corentin Artaud (Loughborough University London)

Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition (Page 2827)
Peter Sunehag (DeepMind)
Alexander Sasha Vezhnevets (DeepMind)
Edgar A. Duéñez-Guzmán (DeepMind)
Igor Mordatch (Google Brain)
Joel Z. Leibo (DeepMind)

Temporally Layered Architecture for Adaptive, Distributed and Continuous Control (Page 2830)
Devdhar Patel (University of Massachusetts, Amherst)
Joshua Russell (University of Massachusetts, Amherst)
Francesca Walsh (University of Massachusetts, Amherst)
Tauhidur Rahman (University of California San Diego)
Terrence Sejnowski (Salk Institute for Biological Studies)
Hava Siegelmann (University of Massachusetts, Amherst)

Multi-objective Reinforcement Learning in Factored MDPs with Graph Neural Networks (Page 2833)
Marc Vincent (Thales Land and Air Systems & LIP6, Sorbonne Université, CNRS)
Amal El Fallah Seghrouchni (LIP6, Sorbonne Université, CNRS & Mohammed VI Polytechnic University)
Vincent Corruble (LIP6, Sorbonne Université, CNRS)
Narayan Bernardin (Thales Land and Air Systems)
Rami Kassab (Thales Land and Air Systems)
Frédéric Barbaresco (Thales Land and Air Systems)

An Analysis of Connections Between Regret Minimization and Actor Critic Methods in Cooperative Settings (Page 2836)
Chirag Chhablani (University of Illinois at Chicago)
Ian A. Kash (University of Illinois at Chicago)

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Attention-Based Recurrency for Multi-Agent Reinforcement Learning under State Uncertainty (Page 2839)
Thomy Phan (LMU Munich)
Fabian Ritz (LMU Munich)
Jonas Nüßlein (LMU Munich)
Michael Kölle (LMU Munich)
Thomas Gabor (LMU Munich)
Claudia Linnhoff-Popien (LMU Munich)

A Theory of Mind Approach as Test-Time Mitigation Against Emergent Adversarial Communication (Page 2842)
Nancirose Piazza (SAIL Lab - University of New Haven)
Vahid Behzadan (SAIL Lab - University of New Haven)

Defensive Collaborative Learning: Protecting Objective Privacy in Data Sharing (Page 2845)
Cynthia Huang (University of Waterloo & Vector Institute)
Pascal Poupart (University of Waterloo & Vector Institute)

Neuro-Symbolic World Models for Adapting to Open World Novelty (Page 2848)
Jonathan C. Balloch (Georgia Institute of Technology)
Zhiyu Lin (Georgia Institute of Technology)
Xiangyu Peng (Georgia Institute of Technology)
Mustafa Hussain (Georgia Institute of Technology)
Aarun Srinivas (Georgia Institute of Technology)
Robert Wright (Georgia Tech Research Institute)
Julia M. Kim (Georgia Institute of Technology)
Mark O. Riedl (Georgia Institute of Technology)

Modeling Dynamic Environments with Scene Graph Memory (Page 2851)
Andrey Kurenkov (Stanford University)
Michael Lingelbach (Stanford University)
Tanmay Agarwal (Stanford University)
Chengshu Li (Stanford University)
Emily Jin (Stanford University)
Ruohan Zhang (Stanford University)
Li Fei-Fei (Stanford University)
Jiajun Wu (Stanford University)
Silvio Savarese (Salesforce AI Research)
Roberto Martín-Martín (University of Texas at Austin)

Group Fair Clustering Revisited -- Notions and Efficient Algorithm (Page 2854)
Shivam Gupta (Indian Institute of Technology Ropar)
Ganesh Ghalme (Indian Institute of Technology Hyderabad)
Narayanan C. Krishnan (Indian Institute of Technology Palakkad)
Shweta Jain (Indian Institute of Technology Ropar)

LTL-Based Non-Markovian Inverse Reinforcement Learning (Page 2857)
Mohammad Afzal (TCS Research & IIT Bombay)
Sankalp Gambhir (EPFL Switzerland)
Ashutosh Gupta (IIT Bombay)
Krishna S (IIT Bombay)
Ashutosh Trivedi (University of Colorado Boulder)
Alvaro Velasquez (University of Colorado Boulder)

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The Parameterized Complexity of Welfare Guarantees in Schelling Segregation (Page 2860)
Argyrios Deligkas (Royal Holloway, University of London)
Eduard Eiben (Royal Holloway, University of London)
Tiger-Lily Goldsmith (Royal Holloway, University of London)

Fair Chore Division under Binary Supermodular Costs (Page 2863)
Siddharth Barman (Indian Institute of Science)
Vishnu Narayan (Tel Aviv University)
Paritosh Verma (Purdue University)

Deliberation as Evidence Disclosure: A Tale of Two Protocol Types (Page 2866)
Julian Chingoma (University of Amsterdam)
Adrian Haret (University of Amsterdam)

How Does Fairness Affect the Complexity of Gerrymandering? (Page 2869)
Sandip Banerjee (University of Wrocław)
Rajesh Chitnis (University of Birmingham)
Abhiruk Lahiri (Heinrich Heine University Düsseldorf)

Individual-Fair and Group-Fair Social Choice Rules under Single-Peaked Preferences (Page 2872)
Gogulapati Sreedurga (Indian Institute of Science)
Soumyarup Sadhukhan (Indian Institute of Technology)
Souvik Roy (Indian Statistical Institute)
Yadati Narahari (Indian Institute of Science)

Maximin Share Allocations for Assignment Valuations (Page 2875)
Pooja Kulkarni (University of Illinois at Urbana Champaign)
Rucha Kulkarni (University of Illinois at Urbana Champaign)
Ruta Mehta (University of Illinois at Urbana Champaign)

Computational Complexity of Verifying the Group No-show Paradox (Page 2877)
Farhad Mohsin (Rensselaer Polytechnic Institute)
Qishen Han (Rensselaer Polytechnic Institute)
Sikai Ruan (Rensselaer Polytechnic Institute)
Pin-Yu Chen (IBM Research)
Francesca Rossi (IBM Research)
Lirong Xia (Rensselaer Polytechnic Institute)

Optimal Capacity Modification for Many-To-One Matching Problems (Page 2880)
Jiehua Chen (TU Wien)
Gergely Csáji (KRTK KTI)

Learning to Explain Voting Rules (Page 2883)
Inwon Kang (Rensselaer Polytechnic Institute)
Qishen Han (Rensselaer Polytechnic Institute)
Lirong Xia (Rensselaer Polytechnic Institute)

MMS Allocations of Chores with Connectivity Constraints: New Methods and New Results (Page 2886)
Mingyu Xiao (University of Electronic Science and Technology of China)
Guoliang Qiu (Shanghai Jiao Tong University)
Sen Huang (University of Electronic Science and Technology of China)

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Group Fairness in Peer Review (Page 2889)
Haris Aziz (UNSW Sydney)
Evi Micha (University of Toronto)
Nisarg Shah (University of Toronto)

Altruism in Facility Location Problems (Page 2892)
Houyu Zhou (City University of Hong Kong)
Hau Chan (University of Nebraska-Lincoln)
Minming Li (City University of Hong Kong)

Transfer Learning based Agent for Automated Negotiation (Page 2895)
Siqi Chen (Tianjin University)
Qisong Sun (Tianjin University)
Heng You (Tianjin University)
Tianpei Yang (University of Alberta)
Jianye Hao (Tianjin University)

Single-Peaked Jump Schelling Games (Page 2899)
Tobias Friedrich (Hasso Plattner Institute)
Pascal Lenzner (Hasso Plattner Institute)
Louise Molitor (Hasso Plattner Institute)
Lars Seifert (Hasso Plattner Institute)

Defining Deception in Structural Causal Games (Page 2902)
Francis Rhys Ward (Imperial College London)
Francesca Toni (Imperial College London)
Francesco Belardinelli (Imperial College London)

Game Model Learning for Mean Field Games (Page 2905)
Yongzhao Wang (University of Michigan)
Michael P. Wellman (University of Michigan)

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Modeling Robustness in Decision-Focused Learning as a Stackelberg Game (Page 2908)
Sonja Johnson-Yu (Harvard University)
Kai Wang (Harvard University & Google Research)
Jessie Finocchiaro (Harvard University)
Aparna Taneja (Google Research)
Milind Tambe (Harvard University & Google Research)

Two-phase Security Games (Page 2910)
Andrzej Nagórko (University of Warsaw & IDEAS NCBR)
Paweł Ciosmak (IDEAS NCBR)
Tomasz Michalak (University of Warsaw & IDEAS NCBR)

Stationary Equilibrium of Mean Field Games with Congestion-dependent Sojourn Times (Page 2913)
Costas Courcoubetis (The Chinese University of Hong Kong)
Antonis Dimakis (Athens University of Economics and Business)

Last-mile Collaboration: A Decentralized Mechanism with Performance Guarantees and its Implementation (Page 2916)
Keyang Zhang (Imperial College London)
Jose Javier Escribano Macias (Imperial College London)
Dario Paccagnan (Imperial College London)
Panagiotis Angeloudis (Imperial College London)

Deep Learning-Powered Iterative Combinatorial Auctions with Active Learning (Page 2919)
Benjamin Estermann (ETH Zurich)
Stefan Kramer (ETH Zurich)
Roger Wattenhofer (ETH Zurich)
Ye Wang (University of Macau)

Revenue Maximization Mechanisms for an Uninformed Mediator with Communication Abilities (Page 2922)
Zhikang Fan (Renmin University of China)
Weiran Shen (Renmin University of China)

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Doctoral Consortium

Counterfactual Explanations for Reinforcement Learning Agents (Page 2925)
Jasmina Gajcin (Trinity College Dublin)

Bipartite Matching for Repeated Allocation Problems (Page 2928)
Yohai Trabelsi (Bar-Ilan University)

Artificial Intelligence Algorithms for Strategic Reasoning over Complex Multiagent Systems (Page 2931)
Zun Li (University of Michigan, Ann Arbor)

Emergence of Cooperation on Networks (Page 2934)
Jacques Bara (University of Warwick)

Enhancing User Understanding of Reinforcement Learning Agents Through Visual Explanations (Page 2937)
Yotam Amitai (Technion - I.I.T)

Algorithmic Fairness in Temporal Resource Allocation (Page 2940)
Ashwin Kumar (Washington University in St Louis)

AI & Multi-agent Systems for Data-centric Epidemic Forecasting (Page 2943)
Alexander Rodríguez (Georgia Institute of Technology)

Strategy Extraction for Transfer in AI Agents (Page 2946)
Archana Vadakattu (The University of Melbourne)

Multi-Advisor Dynamic Decision Making (Page 2949)
Zhaori Guo (University of Southampton)

Forward-Looking and Backward-Looking Responsibility Attribution in Multi-Agent Sequential Decision Making (Page 2952)
Stelios Triantafyllou (Max Planck Institute for Software Systems)

Coalition Formation in Sequential Decision-Making under Uncertainty (Page 2955)
Saar Cohen (Bar-Ilan University)

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Fine Grained Complexity of Fair and Efficient Allocations (Page 2958)
Aditi Sethia (Indian Institute of Technology)

Preference Inference from Demonstration in Multi-objective Multi-agent Decision Making (Page 2961)
Junlin Lu (University of Galway)

Explanation through Dialogue for Reasoning Systems (Page 2964)
Yifan Xu (The University of Manchester)

Logics for Information Aggregation (Page 2967)
John Lindqvist (University of Bergen)

Towards Sample-Efficient Multi-Objective Reinforcement Learning (Page 2970)
Lucas N. Alegre (Federal University of Rio Grande do Sul & Vrije Universiteit Brussel)

Verifiably Safe Decision-Making for Autonomous Systems (Page 2973)
Yi Yang (KU Leuven)

A Toolkit for Encouraging Safe Diversity in Skill Discovery (Page 2976)
Maxence Hussonnois (Deakin University)

Citizen Centric Demand Responsive Transport (Page 2979)
Alexander Masterman (Univerity of Southampton)

Safe Behavior Specification and Planning for Autonomous Robotic Systems in Uncertain Environments (Page 2982)
Jan Vermaelen (KU Leuven)

Mechanism Design for Heterogeneous and Distributed Facility Location Problems (Page 2985)
Rongsen Zhang (University of Essex)

Reinforcement Learning and Mechanism Design for Routing of Connected and Autonomous Vehicles (Page 2988)
Behrad Koohy (University of Southampton)

Uncertainty-aware Personal Assistant and Explanation Method for Privacy Decisions (Page 2991)
Gönül Aycı (Bogazici University)

Fair Transport Network Design using Multi-Agent Reinforcement Learning (Page 2993)
Dimitris Michailidis (University of Amsterdam)

Towards Scalable and Robust Decision Making in Partially Observable, Multi-Agent Environments (Page 2996)
Jonathon Schwartz (The Australian National University)

Reinforcement Learning in Multi-Objective Multi-Agent Systems (Page 2999)
Willem Röpke (Vrije Universiteit Brussel)

Characterizing Fairness in Societal Resource Allocation (Page 3002)
Tasfia Mashiat (George Mason University)

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Learning Transferable Representations for Non-stationary Environments (Page 3005)
Mohammad Samin Yasar (University of Virginia)

Effective Human-Machine Teaming through Communicative Autonomous Agents that Explain, Coach, and Convince (Page 3008)
Aaquib Tabrez (University of Colorado Boulder)

Towards a Logical Account for Human-Aware Explanation Generation in Model Reconciliation Problems (Page 3011)
Stylianos Loukas Vasileiou (Washington University in St Louis)

Contests and Other Topics in Multi-Agent Systems (Page 3014)
Abheek Ghosh (University of Oxford)

Planning and Coordination for Unmanned Aerial Vehicles (Page 3017)
Jonathan Diller (Colorado School of Mines)

Towards Creating Better Interactive Agents: Leveraging Both Implicit and Explicit Human Feedback (Page 3020)
Kate Candon (Yale University)

Assistive Robotics for Empowering Humans with Visual Impairments to Independently Perform Day-to-day Tasks (Page 3023)
Shivendra Agrawal (University of Colorado Boulder)

Separations and Collapses in Computational Social Choice (Page 3026)
Michael C. Chavrimootoo (University of Rochester)

Emergent Responsible Autonomy in Multi-Agent Systems (Page 3029)
Jayati Deshmukh (International Institute of Information Technology, Bangalore)

Learning Representations and Robust Exploration for Improved Generalization in Reinforcement Learning (Page 3032)
Nasik Muhammad Nafi (Kansas State University)

Enhancing Smart, Sustainable Mobility with Game Theory and Multi-Agent Reinforcement Learning (Page 3035)
Lucia Cipolina-Kun (University of Bristol)

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Demonstrations

TDD for AOP: Test-Driven Development for Agent-Oriented Programming (Page 3038)
Cleber Jorge Amaral (Federal Institute of Santa Catarina)
Jomi Fred Hübner (Federal University of Santa Catarina)
Timotheus Kampik (Umeå University & SAP Signavio)

Interaction-Oriented Programming: Intelligent, Meaning-Based Multiagent Systems (Page 3041)
Amit K. Chopra (Lancaster University)
Samuel H. Christie, V (North Carolina State University)
Munindar P. Singh (North Carolina State University)

Improvement and Evaluation of the Policy Legibility in Reinforcement Learning (Page 3044)
Yanyu Liu (Xiamen University)
Yifeng Zeng (Northumbria University)
Biyang Ma (Minnan Normal University)
Yinghui Pan (Shenzhen University)
Huifan Gao (Xiamen University)
Xiaohan Huang (University of Liverpool)

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Multi-Robot Warehouse Optimization: Leveraging Machine Learning for Improved Performance (Page 3047)
Mara Cairo (Alberta Machine Intelligence Institute)
Bevin Eldaphonse (Alberta Machine Intelligence Institute)
Payam Mousavi (Alberta Machine Intelligence Institute)
Sahir (Alberta Machine Intelligence Institute)
Sheikh Jubair (Alberta Machine Intelligence Institute)
Matthew E. Taylor (Alberta Machine Intelligence Institute)
Graham Doerksen (Attabotics)
Nikolai Kummer (Attabotics)
Jordan Maretzki (Attabotics)
Gupreet Mohhar (Attabotics)
Sean Murphy (Attabotics)
Johannes Günther (University of Alberta & Amii)
Laura Petrich (University of Alberta & Amii)
Talat Syed (University of Alberta & Amii)

Robust JaCaMo Applications via Exceptions and Accountability (Page 3050)
Matteo Baldoni (Università degli Studi di Torino)
Cristina Baroglio (Università degli Studi di Torino)
Roberto Micalizio (Università degli Studi di Torino)
Stefano Tedeschi (Università degli Studi di Torino)

A Web-based Tool for Detecting Argument Validity and Novelty (Page 3053)
Sandrine Chausson (University of Edinburgh)
Ameer Saadat-Yazdi (University of Edinburgh)
Xue Li (University of Edinburgh)
Jeff Z. Pan (University of Edinburgh & Huawei Edinburgh Centre)
Vaishak Belle (University of Edinburgh)
Nadin Kökciyan (University of Edinburgh)
Björn Ross (University of Edinburgh)

Visualizing Logic Explanations for Social Media Moderation (Page 3056)
Marc Roig Vilamala (Cardiff University)
Dave Braines (IBM Research Europe)
Federico Cerutti (University of Brescia)
Alun Preece (Cardiff University)

The Influence Maximisation Game (Page 3059)
Sukankana Chakraborty (The Alan Turing Institute)
Sebastian Stein (University of Southampton)
Ananthram Swami (DEVCOM U.S. Army Reserach Lab)
Matthew Jones (University of Southampton)
Lewis Hill (University of Southampton)

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Demonstrating Performance Benefits of Human-Swarm Teaming (Page 3062)
William Hunt (University of Southampton)
Jack Ryan (University of Southampton)
Ayodeji O. Abioye (University of Southampton)
Sarvapali D. Ramchurn (University of Southampton)
Mohammad D. Soorati (University of Southampton)

Hiking up that HILL with Cogment-Verse: Train & Operate Multi-agent Systems Learning from Humans (Page 3065)
Sai Krishna Gottipati (AI Redefined)
Luong-Ha Nguyen (AI Redefined)
Clodéric Mars (AI Redefined)
Matthew E. Taylor (AI Redefined)

Real Time Gesturing in Embodied Agents for Dynamic Content Creation (Page 3068)
Hazel Watson-Smith (Soul Machines)
Felix Marcon Swadel (Soul Machines)
Jo Hutton (Soul Machines)
Kirstin Marcon (Soul Machines)
Mark Sagar (Soul Machines)
Shane Blackett (Soul Machines)
Tiago Rebeiro (Soul Machines)
Travers Biddle (Soul Machines)
Tim Wu (Soul Machines)