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Table of Contents

Author Index

Author Index


Ma, Biyang (Minnan Normal University)

Demonstration Track ~ Improvement and Evaluation of the Policy Legibility in Reinforcement Learning (Page 3044)


Ma, Chunwei (University at Buffalo)

Main Track Full Paper ~ FedMM: A Communication Efficient Solver for Federated Adversarial Domain Adaptation (Page 1808)


Ma, Haoxiang (University of Florida)

Extended Abstract ~ Optimal Decoy Resource Allocation for Proactive Defense in Probabilistic Attack Graphs (Page 2616)


Ma, Haozhe (National University of Singapore)

Extended Abstract ~ Hierarchical Reinforcement Learning with Human-AI Collaborative Sub-Goals Optimization (Page 2310)


Ma, Jinming (University of Sicence and Technology of China)

Main Track Full Paper ~ Learning to Coordinate from Offline Datasets with Uncoordinated Behavior Policies (Page 1258)


Ma, Shangzhao (Tianjin University)

Main Track Full Paper ~ Think Twice: A Human-like Two-stage Conversational Agent for Emotional Response Generation (Page 727)


Ma, Xiao (Nanjing University)

Extended Abstract ~ Grey-box Adversarial Attack on Communication in Multi-agent Reinforcement Learning (Page 2448)


 

Ma, Yining (National University of Singapore)

Extended Abstract ~ FedHQL: Federated Heterogeneous Q-Learning (Page 2810)


Maass, Javier (Universidad de Chile)

Main Track Full Paper ~ A Hotelling-Downs Game for Strategic Candidacy with Binary Issues (Page 2076)


Macfarlane, Matthew (University of Amsterdam)

JAAMAS Track ~ A Brief Guide to Multi-Objective Reinforcement Learning and Planning (Page 1988)


Madathil, Jayakrishnan (University of Glasgow)

Extended Abstract ~ The Complexity of Minimizing Envy in House Allocation (Page 2673)


Madhavan, Varun (Indian Institute of Technology Kharagpur)

Extended Abstract ~ Deep Learning-based Spatially Explicit Emulation of an Agent-Based Simulator for Pandemic in a City (Page 2733)


Madhiwalla, Neha (ARMMAN)

Main Track Full Paper ~ Restless Multi-Armed Bandits for Maternal and Child Health: Results from Decision-Focused Learning (Page 1312)


Magnússon, Sindri (Stockholm University)

Extended Abstract ~ TA-Explore: Teacher-Assisted Exploration for Facilitating Fast Reinforcement Learning (Page 2412)


Mahaut, Matéo (Universitat Pompeu Fabra)

Extended Abstract ~ Referential Communication in Heterogeneous Communities of Pre-trained Visual Deep Networks (Page 2619)


 

Mahmud, Saaduddin (University of Massachusetts)

Extended Abstract ~ Causal Explanations for Sequential Decision Making Under Uncertainty (Page 2307)

Main Track Full Paper ~ Semi-Autonomous Systems with Contextual Competence Awareness (Page 689)


Mai, Tien (Singapore Management University)

Main Track Full Paper ~ Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games (Page 1285)


Mai, Vincent (Université de Montréal)

Extended Abstract ~ Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response of Residential Loads (Page 2502)


Maisonneuve, Philippe (Polytechnique Montréal)

Extended Abstract ~ Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response of Residential Loads (Page 2502)


Maksimov, Oleg (Bar-Ilan University)

Main Track Full Paper ~ Allocation Problem in Remote Teleoperation: Online Matching with Offline Reusable Resources and Delayed Assignments (Page 513)


Mallampati, Vivek (Georgia Institute of Technology)

Extended Abstract ~ Inferring Implicit Trait Preferences from Demonstrations of Task Allocation in Heterogeneous Teams (Page 2798)


 

Malvone, Vadim (Télécom Paris)

Main Track Full Paper ~ Towards the Verification of Strategic Properties in Multi-Agent Systems with Imperfect Information (Page 793)


Maly, Jan (University of Amsterdam)

Main Track Full Paper ~ Fairness in Participatory Budgeting via Equality of Resources (Page 2031)

Main Track Full Paper ~ Free-Riding in Multi-Issue Decisions (Page 2040)


Mandal, Debmalya (MPI-SWS)

Extended Abstract ~ Feature-based Individual Fairness in k-clustering (Page 2772)

Main Track Full Paper ~ Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks (Page 1835)


Mannion, Patrick (University of Galway)

Extended Abstract ~ Know Your Enemy: Identifying and Adapting to Adversarial Attacks in Deep Reinforcement Learning (Page 2813)

JAAMAS Track ~ Scalar Reward is Not Enough (Page 839)

JAAMAS Track ~ A Brief Guide to Multi-Objective Reinforcement Learning and Planning (Page 1988)


Mannor, Shie (Technion & NVIDIA)

Extended Abstract ~ Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning (Page 2430)


Mao, Song (Shanghai AI Laboratory)

Extended Abstract ~ Bringing Diversity to Autonomous Vehicles: An Interpretable Multi-vehicle Decision-making and Planning Framework (Page 2571)


Marathe, Madhav (University of Virginia)

Extended Abstract ~ Towards Optimal and Scalable Evacuation Planning Using Data-driven Agent Based Models (Page 2397)

Main Track Full Paper ~ Assigning Agents to Increase Network-Based Neighborhood Diversity (Page 600)


 

Marchesini, Enrico (Northeastern University)

Main Track Full Paper ~ Safe Deep Reinforcement Learning by Verifying Task-Level Properties (Page 1466)


Marcolino, Leandro Soriano (Lancaster University)

JAAMAS Track ~ On-line Estimators for Ad-hoc Task Execution: Learning Types and Parameters of Teammates for Effective Teamwork (Page 140)


Marcon, Kirstin (Soul Machines)

Demonstration Track ~ Real Time Gesturing in Embodied Agents for Dynamic Content Creation (Page 3068)


Marcon Swadel, Felix (Soul Machines)

Demonstration Track ~ Real Time Gesturing in Embodied Agents for Dynamic Content Creation (Page 3068)


Marcondes, Francisco S. (U. of Minho)

Extended Abstract ~ SE4AI Issues on Designing a Social Media Agent: Agile Use Case Design for Behavioral Game Theory (Page 2493)


Maretzki, Jordan (Attabotics)

Demonstration Track ~ Multi-Robot Warehouse Optimization: Leveraging Machine Learning for Improved Performance (Page 3047)


 

Mari, Mathieu (University of Warsaw and IDEAS NCBR)

Main Track Full Paper ~ Online Matching with Delays and Stochastic Arrival Times (Page 976)


Mariani, Stefano (University of Modena and Reggio Emilia)

Extended Abstract ~ Towards Multi-agent Learning of Causal Networks (Page 2807)


Markakis, Evangelos (Athens University of Economics and Business and Input Output Global (IOG))

Main Track Full Paper ~ Improved EFX Approximation Guarantees under Ordinal-based Assumptions (Page 591)


Marris, Luke (DeepMind)

Extended Abstract ~ Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games (Page 2445)


Mars, Clodéric (AI Redefined)

Demonstration Track ~ Hiking up that HILL with Cogment-Verse: Train & Operate Multi-agent Systems Learning from Humans (Page 3065)


Marsella, Stacy C. (Northeastern University)

Extended Abstract ~ Effectiveness of Teamwork-Level Interventions through Decision-Theoretic Reasoning in a Minecraft Search-and-Rescue Task (Page 2334)


Marsella, Stacy (Northeastern University)

Main Track Full Paper ~ Agent-Based Modeling of Human Decision-makers Under Uncertain Information During Supply Chain Shortages (Page 1886)


 

Martin, Mario (Universitat Politècnica de Catalunya)

Main Track Full Paper ~ TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Problems (Page 1679)


Martin, Nicolas F. (University of Illinois at Urbana-Champaign)

Extended Abstract ~ Optimizing Crop Management with Reinforcement Learning and Imitation Learning (Page 2511)


Martinho, Carlos (INESC-ID & Instituto Superior Técnico)

Extended Abstract ~ Modeling the Interpretation of Animations to Help Improve Emotional Expression (Page 2301)


Martín-Martín, Roberto (University of Texas at Austin)

Extended Abstract ~ Modeling Dynamic Environments with Scene Graph Memory (Page 2851)


Maruf, Abdullah Al (University of Washington)

Extended Abstract ~ Cognitive Bias-Aware Dissemination Strategies for Opinion Dynamics with External Information Sources (Page 2769)


Marzari, Luca (University of Verona)

Main Track Full Paper ~ Safe Deep Reinforcement Learning by Verifying Task-Level Properties (Page 1466)


Mascardi, Viviana (University of Genoa)

Main Track Full Paper ~ MAIDS - A Framework for the Development of Multi-Agent Intentional Dialogue Systems (Page 1209)


 

Mashiat, Tasfia (George Mason University)

Doctoral Consortium ~ Characterizing Fairness in Societal Resource Allocation (Page 3002)


Mashiat, Tasfia (George Mason University)

Extended Abstract ~ Counterfactually Fair Dynamic Assignment: A Case Study on Policing (Page 2526)


Masmitja, Ivan (Institut de Ciències del Mar (ICM), CSIC)

Main Track Full Paper ~ TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Problems (Page 1679)


Mason, Karl (University of Galway)

Extended Abstract ~ Know Your Enemy: Identifying and Adapting to Adversarial Attacks in Deep Reinforcement Learning (Page 2813)


Masterman, Alexander (Univerity of Southampton)

Doctoral Consortium ~ Citizen Centric Demand Responsive Transport (Page 2979)


Masters, Peta (King's College London)

Main Track Full Paper ~ Domain-Independent Deceptive Planning (Page 95)


Masur, Jacob (Tulane University)

Extended Abstract ~ Does Delegating Votes Protect Against Pandering Candidates? (Page 2685)


 

Mate, Aditya (Harvard University)

Main Track Full Paper ~ Restless Multi-Armed Bandits for Maternal and Child Health: Results from Decision-Focused Learning (Page 1312)


Mattei, Nicholas (Tulane University)

Extended Abstract ~ Social Mechanism Design: A Low-Level Introduction (Page 2472)


Mattei, Nicholas (Tulane University)

Extended Abstract ~ Does Delegating Votes Protect Against Pandering Candidates? (Page 2685)


Mattei, Nicholas (Tulane)

Main Track Full Paper ~ Mitigating Skewed Bidding for Conference Paper Assignment (Page 573)


Matthews, Tim (University of Southampton)

Main Track Full Paper ~ Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observations (Page 1643)


Matuszak, Haley (Northeastern University)

Extended Abstract ~ Effectiveness of Teamwork-Level Interventions through Decision-Theoretic Reasoning in a Minecraft Search-and-Rescue Task (Page 2334)


Mayer, Simon (University of St. Gallen)

Extended Abstract ~ Domain-Expert Configuration of Hypermedia Multi-Agent Systems in Industrial Use Cases (Page 2499)


 

Mayer, Simon (University of St. Gallen)

Main Track Full Paper ~ Signifiers as a First-class Abstraction in Hypermedia Multi-Agent Systems (Page 1200)


Mazzi, Giulio (University of Verona)

Main Track Full Paper ~ Learning Logic Specifications for Soft Policy Guidance in POMCP (Page 373)


McIlraith, Sheila A. (University of Toronto & Vector Institute)

Main Track Full Paper ~ Epistemic Side Effects: An AI Safety Problem (Page 1797)


McKee, Kevin R. (DeepMind)

Extended Abstract ~ Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games (Page 2445)


McLaughlin, Michael (The Pennsylvania State University)

Extended Abstract ~ Artificial Prediction Markets Present a Novel Opportunity for Human-AI Collaboration (Page 2304)


McPherson, D. Livingston (University of Illinois)

Main Track Full Paper ~ Structural Attention-based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection (Page 1125)


McWilliams, Matthew (Tufts University)

Extended Abstract ~ Improving Human-Robot Team Performance with Proactivity and Shared Mental Models (Page 2322)


 

Mechergui, Malek (Colorado State University)

Extended Abstract ~ Goal Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AI (Page 2331)


Medya, Sourav (University of Illinois Chicago)

Extended Abstract ~ Feature-based Individual Fairness in k-clustering (Page 2772)


Mehta, Ruta (University of Illinois at Urbana Champaign)

Extended Abstract ~ Maximin Share Allocations for Assignment Valuations (Page 2875)


Mei, Lili (Hangzhou Dianzi University)

Main Track Full Paper ~ Facility Location Games with Thresholds (Page 2170)


Mei, Peidong (University of Exeter)

Main Track Full Paper ~ Should My Agent Lie for Me? A Study on Attitudes of US-basedParticipants Towards Deceptive AI in Selected Future-of-work (Page 345)


Mei, Yongsheng (The George Washington University)

Main Track Full Paper ~ MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization (Page 466)


Meir, Reshef (Technion - Israel Institute of Technology)

Main Track Full Paper ~ Mitigating Skewed Bidding for Conference Paper Assignment (Page 573)


 

Meisheri, Hardik (TCS Research)

Main Track Full Paper ~ Follow your Nose: Using General Value Functions for Directed Exploration in Reinforcement Learning (Page 802)


Meli, Daniele (University of Verona)

Main Track Full Paper ~ Learning Logic Specifications for Soft Policy Guidance in POMCP (Page 373)


Melo, Francisco S. (INESC-ID & Instituto Superior Técnico)

Extended Abstract ~ Learning to Perceive in Deep Model-Free Reinforcement Learning (Page 2595)


Meng, Linghui (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences)

Main Track Full Paper ~ M3: Modularization for Multi-task and Multi-agent Offline Pre-training (Page 1624)


Meng, Xiangrui (Peking University)

Extended Abstract ~ Learning Group-Level Information Integration in Multi-Agent Communication (Page 2601)


Merlis, Nadav (Technion)

Extended Abstract ~ Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning (Page 2430)


Mertes, Silvan (University of Augsburg)

Main Track Full Paper ~ GANterfactual-RL: Understanding Reinforcement Learning Agents' Strategies through Visual Counterfactual Explanations (Page 1097)


 

Micalizio, Roberto (Università degli Studi di Torino)

Demonstration Track ~ Robust JaCaMo Applications via Exceptions and Accountability (Page 3050)


Micha, Evi (University of Toronto)

Extended Abstract ~ Group Fairness in Peer Review (Page 2889)


Micha, Evi (University of Toronto)

Main Track Full Paper ~ Best of Both Worlds Fairness under Entitlements (Page 941)


Michailidis, Dimitris (University of Amsterdam)

Doctoral Consortium ~ Fair Transport Network Design using Multi-Agent Reinforcement Learning (Page 2993)


Michailidis, Dimitris (University of Amsterdam)

Extended Abstract ~ Balancing Fairness and Efficiency in Transport Network Design through Reinforcement Learning (Page 2532)


Michalak, Tomasz (University of Warsaw & IDEAS NCBR)

Extended Abstract ~ Two-phase Security Games (Page 2910)


Michalak, Tomasz (University of Warsaw & IDEAS NCBR)

Main Track Full Paper ~ Adversarial Link Prediction in Spatial Networks (Page 1817)


 

Milzman, Jesse (DEVCOM Army Research Laboratory)

Main Track Full Paper ~ Decentralized Core-periphery Structure in Social Networks Accelerates Cultural Innovation in Agent-based Modeling (Page 2213)


Mishra, Bhaskar (University of Florida)

Main Track Full Paper ~ Learning Properties in Simulation-Based Games (Page 272)


Misra, Neeldhara (IIT Gandhinagar)

Extended Abstract ~ The Complexity of Minimizing Envy in House Allocation (Page 2673)


Mitra, Adway (Indian Institute of Technology Kharagpur)

Extended Abstract ~ Agent-based Simulation of District-based Elections with Heterogeneous Populations (Page 2730)


Mitra, Adway (Indian Institute of Technology Kharagpur)

Extended Abstract ~ Deep Learning-based Spatially Explicit Emulation of an Agent-Based Simulator for Pandemic in a City (Page 2733)


Mittal, Dixant (National University of Singapore)

Main Track Full Paper ~ ExPoSe: Combining State-Based Exploration with Gradient-Based Online Search (Page 1345)


Mittal, Ketan (LLNL)

Main Track Full Paper ~ Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement (Page 14)


Mittelmann, Munyque (University of Naples Federico II)

JAAMAS Track ~ Representing and Reasoning about Auctions (Page 1388)


 

Miyashita, Yuki (Shimizu Corporation)

Main Track Full Paper ~ Distributed Planning with Asynchronous Execution with Local Navigation for Multi-agent Pickup and Delivery Problem (Page 914)


Mo, Linjian (Ant Group)

Main Track Full Paper ~ Model-Based Reinforcement Learning for Auto-bidding in Display Advertising (Page 1560)


Mocanu, Decebal Constantin (University of Luxembourg & University of Twente)

Main Track Full Paper ~ Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning (Page 1932)


Mocanu, Elena (University of Twente)

Main Track Full Paper ~ Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning (Page 1932)


Mocanu, Ionela G. (The University of Edinburgh)

Extended Abstract ~ Learnability with PAC Semantics for Multi-agent Beliefs (Page 2604)


Modi, Ashutosh (IIT Kanpur)

Extended Abstract ~ From Scripts to RL Environments: Towards Imparting Commonsense Knowledge to RL Agents (Page 2801)


Mohammadi, Mohammad (Max Planck Institute for Software Systems)

Main Track Full Paper ~ Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks (Page 1835)


Mohan, Shiwali (Palo Alto Research Center)

Extended Abstract ~ Learning to Operate in Open Worlds by Adapting Planning Models (Page 2610)


 

Mohanty, Sharada (AICrowd)

Extended Abstract ~ Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO (Page 2490)


Mohhar, Gupreet (Attabotics)

Demonstration Track ~ Multi-Robot Warehouse Optimization: Leveraging Machine Learning for Improved Performance (Page 3047)


Mohsin, Farhad (Rensselaer Polytechnic Institute)

Extended Abstract ~ Computational Complexity of Verifying the Group No-show Paradox (Page 2877)


Molitor, Louise (Hasso Plattner Institute)

Extended Abstract ~ Single-Peaked Jump Schelling Games (Page 2899)


Momennejad, Ida (Microsoft Research)

Extended Abstract ~ One-Shot Learning from a Demonstration with Hierarchical Latent Language (Page 2388)


Montali, Marco (Free University of Bozen-Bolzano)

Extended Abstract ~ A Semantic Approach to Decidability in Epistemic Planning (Page 2361)


Moon, Jun (Hanyang University)

Extended Abstract ~ Transformer Actor-Critic with Regularization: Automated Stock Trading using Reinforcement Learning (Page 2815)


Morad, Steven (University of Cambridge)

Main Track Full Paper ~ Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning (Page 1661)


 

Mordatch, Igor (Google Brain)

Extended Abstract ~ Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition (Page 2827)


Morley, Sandra (Individual Researcher)

Extended Abstract ~ Reasoning about Uncertainty in AgentSpeak using Dynamic Epistemic Logic (Page 2394)


Morota Chu, Sean (UNSW Sydney)

Extended Abstract ~ Matching Algorithms under Diversity-Based Reservations (Page 2469)


Morris-Martin, Andreasa (University of Bath)

Main Track Full Paper ~ Agent-directed Runtime Norm Synthesis (Page 2271)


Mortveit, Henning (University of Virginia)

Extended Abstract ~ Towards Optimal and Scalable Evacuation Planning Using Data-driven Agent Based Models (Page 2397)


Moser, Cody (University of California Merced)

Main Track Full Paper ~ Decentralized Core-periphery Structure in Social Networks Accelerates Cultural Innovation in Agent-based Modeling (Page 2213)


Mostafa, Hala (Bitsight)

Extended Abstract ~ Effectiveness of Teamwork-Level Interventions through Decision-Theoretic Reasoning in a Minecraft Search-and-Rescue Task (Page 2334)


Mousavi, Payam (Alberta Machine Intelligence Institute)

Demonstration Track ~ Multi-Robot Warehouse Optimization: Leveraging Machine Learning for Improved Performance (Page 3047)


 

Mousseau, Vincent (CentraleSupélec, Université Paris-Saclay)

Main Track Full Paper ~ A Hotelling-Downs Game for Strategic Candidacy with Binary Issues (Page 2076)


Moutarde, Fabien (MINES ParisTech, PSL University)

Extended Abstract ~ Reward Relabelling for Combined Reinforcement and Imitation Learning on Sparse-reward Tasks (Page 2565)


Mouzakitis, Alex (Jaguar Land Rover)

JAAMAS Track ~ Emergence of Norms in Interactions with Complex Rewards (Page 2280)


Muller, Paul (DeepMind)

Extended Abstract ~ Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games (Page 2445)


Muller, Philippe (Toulouse University -- IRIT)

Extended Abstract ~ Argument-based Explanation Functions (Page 2373)


Muller, Tim (University of Nottingham)

Extended Abstract ~ Stability of Weighted Majority Voting under Estimated Weights (Page 2691)


Munagala, Kamesh (Duke University)

Main Track Full Paper ~ Fairness in the Assignment Problem with Uncertain Priorities (Page 188)


 

Murphy, Sean (Attabotics)

Demonstration Track ~ Multi-Robot Warehouse Optimization: Leveraging Machine Learning for Improved Performance (Page 3047)


Murugan, Raswanth (Indian Institute of Technology, Palakkad)

Main Track Full Paper ~ Intelligent Onboard Routing in Stochastic Dynamic Environments using Transformers (Page 1688)


Murukannaiah, Pradeep K. (TU Delft)

Main Track Full Paper ~ Value Inference in Sociotechnical Systems (Page 1774)


Mutzari, Dolev (Bar Ilan University)

Extended Abstract ~ Resilient Fair Allocation of Indivisible Goods (Page 2688)


Nafi, Nasik Muhammad (Kansas State University)

Doctoral Consortium ~ Learning Representations and Robust Exploration for Improved Generalization in Reinforcement Learning (Page 3032)

Extended Abstract ~ Analyzing the Sensitivity to Policy-Value Decoupling in Deep Reinforcement Learning Generalization (Page 2625)


Nagaraj, Dheeraj (Google Research)

Main Track Full Paper ~ Indexability is Not Enough for Whittle: Improved, Near-Optimal Algorithms for Restless Bandits (Page 1294)


Nagórko, Andrzej (University of Warsaw & IDEAS NCBR)

Extended Abstract ~ Two-phase Security Games (Page 2910)


 

Naik, Ashutosh (University of Colorado Boulder)

Main Track Full Paper ~ ShelfHelp: Empowering Humans to Perform Vision-Independent Manipulation Tasks with a Socially Assistive Robotic Cane (Page 1514)


Naito, Wataru (AIST)

Extended Abstract ~ Simulation Model with Side Trips at a Large-Scale Event (Page 2745)


Nakadai, Shinji (NEC Corporation & National Institute of Advanced Industrial Science and Technology (AIST))

JAAMAS Track ~ Preference-Based Multi-Objective Multi-Agent Path Finding (Page 2000)


Narahari, Yadati (Indian Institute of Science)

Extended Abstract ~ Individual-Fair and Group-Fair Social Choice Rules under Single-Peaked Preferences (Page 2872)


Narang, Shivika (Indian Institute of Science)

Extended Abstract ~ Repeatedly Matching Items to Agents Fairly and Efficiently (Page 2670)


Narayan, Vishnu (Tel Aviv University)

Extended Abstract ~ Fair Chore Division under Binary Supermodular Costs (Page 2863)


Nardi, Oliviero (TU Wien)

Main Track Full Paper ~ Free-Riding in Multi-Issue Decisions (Page 2040)


 

Narváez, David E. (University of Rochester)

Extended Abstract ~ Search versus Search for Collapsing Electoral Control Types (Page 2682)


Narváez, David E. (Virginia Tech)

Main Track Full Paper ~ Separating and Collapsing Electoral Control Types (Page 1743)


Nashed, Samer B. (University of Massachusetts)

Extended Abstract ~ Causal Explanations for Sequential Decision Making Under Uncertainty (Page 2307)


Natan, Avraham (Ben-Gurion University of the Negev)

Extended Abstract ~ Blame Attribution for Multi-Agent Pathfinding Execution Failures (Page 2358)


Nath, Somjit (TCS Research)

Main Track Full Paper ~ Follow your Nose: Using General Value Functions for Directed Exploration in Reinforcement Learning (Page 802)


Nath, Swaprava (Indian Institute of Technology Bombay)

Main Track Full Paper ~ Social Distancing via Social Scheduling (Page 1858)


Nayak, Suresh (University of Colorado Boulder)

Main Track Full Paper ~ ShelfHelp: Empowering Humans to Perform Vision-Independent Manipulation Tasks with a Socially Assistive Robotic Cane (Page 1514)


 

Neerincx, Mark A. (Delft University of Technology)

Extended Abstract ~ Personalized Agent Explanations for Human-Agent Teamwork: Adapting Explanations to User Trust, Workload, and Performance (Page 2316)


Neerincx, Mark A. (Delft University of Technology & TNO)

Main Track Full Paper ~ Persuading to Prepare for Quitting Smoking with a Virtual Coach: Using States and User Characteristics to Predict Behavior (Page 717)


Nekoei, Hadi (Université de Montréal)

Extended Abstract ~ Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response of Residential Loads (Page 2502)


Nelke, Sofia Amador (Holon Institute of Technology)

Extended Abstract ~ Asynchronous Communication Aware Multi-Agent Task Allocation (Page 2340)


Ngo, Huy Q. (The University of Adelaide)

Extended Abstract ~ Near Optimal Strategies for Honeypots Placement in Dynamic and Large Active Directory Networks (Page 2517)


Nguyen, Hung (The University of Adelaide)

Extended Abstract ~ Near Optimal Strategies for Honeypots Placement in Dynamic and Large Active Directory Networks (Page 2517)


Nguyen, Luong-Ha (AI Redefined)

Demonstration Track ~ Hiking up that HILL with Cogment-Verse: Train & Operate Multi-agent Systems Learning from Humans (Page 3065)


 

Nguyen, Thanh H. (University of Oregon)

Main Track Full Paper ~ Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games (Page 1285)


Nieves, Juan Carlos (Umeå University)

Extended Abstract ~ A Formal Framework for Deceptive Topic Planning in Information-Seeking Dialogues (Page 2376)


Nishida, Ryo (National Institute of Advanced Industrial Science and Technology)

Extended Abstract ~ Crowd Simulation Incorporating a Route Choice Model and Similarity Evaluation using Real Large-scale Data (Page 2751)


Nishimura, Mai (OMRON SINIC X)

Main Track Full Paper ~ Counterfactual Fairness Filter for Fair-Delay Multi-Robot Navigation (Page 887)


Niskanen, Andreas (University of Helsinki)

Main Track Full Paper ~ SAT-based Judgment Aggregation (Page 1412)


Nita-Rotaru, Cristina (Boston University)

Extended Abstract ~ HoLA Robots: Mitigating Plan-Deviation Attacks in Multi-Robot Systems with Co-Observations and Horizon-Limiting Announcements (Page 2553)

Main Track Full Paper ~ Byzantine Resilience at Swarm Scale: A Decentralized Blocklist Protocol from Inter-robot Accusations (Page 1430)


Niu, Luyao (University of Washington)

Extended Abstract ~ Cognitive Bias-Aware Dissemination Strategies for Opinion Dynamics with External Information Sources (Page 2769)


 

Niwa, Ryo (University of Tsukuba)

Extended Abstract ~ Simulation Model with Side Trips at a Large-Scale Event (Page 2745)


Norman, Timothy J. (University of Southampton)

Main Track Full Paper ~ Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observations (Page 1643)

Main Track Full Paper ~ MADDM: Multi-Advisor Dynamic Binary Decision-Making by Maximizing the Utility (Page 2013)


Nöther, Jonathan (Max Planck Institute for Software Systems)

Main Track Full Paper ~ Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks (Page 1835)


Novais, Paulo (U. of Minho)

Extended Abstract ~ SE4AI Issues on Designing a Social Media Agent: Agile Use Case Design for Behavioral Game Theory (Page 2493)


Nowé, Ann (Vrije Universiteit Brussel)

JAAMAS Track ~ A Study of Nash Equilibria in Multi-Objective Normal-Form Games (Page 269)

JAAMAS Track ~ A Brief Guide to Multi-Objective Reinforcement Learning and Planning (Page 1988)

Main Track Full Paper ~ Bridging the Gap Between Single and Multi Objective Games (Page 224)

Main Track Full Paper ~ Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization (Page 2003)


Nüßlein, Jonas (LMU Munich)

Extended Abstract ~ Attention-Based Recurrency for Multi-Agent Reinforcement Learning under State Uncertainty (Page 2839)


Obraztsova, Svetlana (Nanyang Technological University)

Extended Abstract ~ Off-Beat Multi-Agent Reinforcement Learning (Page 2424)


 

Obremski, David (University of Würzburg)

Main Track Full Paper ~ Reducing Racial Bias by Interacting with Virtual Agents: An Intervention in Virtual Reality (Page 747)


Ogunniye, Gideon (University College London)

Main Track Full Paper ~ Contextual Integrity for Argumentation-based Privacy Reasoning (Page 2253)


Oh, Jihwan (Korea Military Academy)

Main Track Full Paper ~ Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning (Page 1597)


Okada, Masashi (Panasonic Holdings Corporation)

Extended Abstract ~ Online Re-Planning and Adaptive Parameter Update for Multi-Agent Path Finding with Stochastic Travel Times (Page 2556)


Oliehoek, Frans A. (Delft University of Technology)

Extended Abstract ~ Safety Guarantees in Multi-agent Learning via Trapping Regions (Page 2403)


Olson, Matthew L. (Oregon State University)

Main Track Full Paper ~ GANterfactual-RL: Understanding Reinforcement Learning Agents' Strategies through Visual Counterfactual Explanations (Page 1097)


Onishi, Masaki (AIST)

Extended Abstract ~ Simulation Model with Side Trips at a Large-Scale Event (Page 2745)

Extended Abstract ~ Crowd Simulation Incorporating a Route Choice Model and Similarity Evaluation using Real Large-scale Data (Page 2751)


 

Orchard, Alexi (University of Waterloo)

Main Track Full Paper ~ Presenting Multiagent Challenges in Team Sports Analytics (Page 1781)


Orfanoudakis, Stavros (Delft University of Technology)

Extended Abstract ~ A Novel Aggregation Framework for the Efficient Integration of Distributed Energy Resources in the Smart Grid (Page 2514)


Osogami, Takayuki (IBM Research - Tokyo)

Main Track Full Paper ~ Learning the Stackelberg Equilibrium in a Newsvendor Game (Page 242)


Othmani-Guibourg, Mehdi William (ONERA and Sorbone University)

Extended Abstract ~ Idleness Estimation for Distributed Multiagent Patrolling Strategies (Page 2538)


Ouaguenouni, Mohamed (Sorbonne Université, CNRS, LIP6)

Extended Abstract ~ Robust Ordinal Regression for Collaborative Preference Learning with Opinion Synergies (Page 2439)


Oualhadj, Youssouf (LACL -- Université Paris-Est Créteil)

Main Track Full Paper ~ Synthesis of Resource-Aware Controllers Against Rational Agents (Page 775)


Özgür, Arzucan (Bogazici University)

Extended Abstract ~ Explain to Me: Towards Understanding Privacy Decisions (Page 2790)


Öztürk, Meltem (Université Paris-Dauphine & Université PSL, CNRS, LAMSADE)

Extended Abstract ~ Robust Ordinal Regression for Collaborative Preference Learning with Opinion Synergies (Page 2439)


 

Paccagnan, Dario (Imperial College London)

Extended Abstract ~ Last-mile Collaboration: A Decentralized Mechanism with Performance Guarantees and its Implementation (Page 2916)


Padget, Julian (University of Bath)

Main Track Full Paper ~ Agent-directed Runtime Norm Synthesis (Page 2271)


Pais, Denis Benevolo (University of São Paulo)

Extended Abstract ~ Forward-PECVaR Algorithm: Exact Evaluation for CVaR SSPs (Page 2364)


Pan, Jeff Z. (University of Edinburgh & Huawei Edinburgh Centre)

Demonstration Track ~ A Web-based Tool for Detecting Argument Validity and Novelty (Page 3053)


Pan, Yinghui (Shenzhen University)

Demonstration Track ~ Improvement and Evaluation of the Policy Legibility in Reinforcement Learning (Page 3044)


Pan, Yuqi (Peking University)

Main Track Full Paper ~ Altruism, Collectivism and Egalitarianism: On a Variety of Prosocial Behaviors in Binary Networked Public Goods Games (Page 609)


Panda, Ayushman (IIIT-Hyderabad)

Extended Abstract ~ Capturing Hiders with Moving Obstacles (Page 2754)


Pandey, Umang (IIT Kanpur)

Extended Abstract ~ From Scripts to RL Environments: Towards Imparting Commonsense Knowledge to RL Agents (Page 2801)


 

Panisson, Alison R. (UFSC)

Main Track Full Paper ~ MAIDS - A Framework for the Development of Multi-Agent Intentional Dialogue Systems (Page 1209)


Paranjape, Aditya A. (Tata Consultancy Services Ltd.)

Extended Abstract ~ Loss of Distributed Coverage Using Lazy Agents Operating Under Discrete, Local, Event-Triggered Communication (Page 2574)


Parisi, Francesco (University of Calabria)

Main Track Full Paper ~ Epistemic Abstract Argumentation Framework: Formal Foundations, Computation and Complexity (Page 409)


Park, Hae Won (MIT Media Lab)

Main Track Full Paper ~ Joint Engagement Classification using Video Augmentation Techniques for Multi-person HRI in the wild (Page 698)


Park, Jinkyoo (Korea Advanced Institute of Science and Technology)

Main Track Full Paper ~ Learn to Solve the Min-max Multiple Traveling Salesmen Problem with Reinforcement Learning (Page 878)


Park, Junyoung (Korea Advanced Institute of Science and Technology)

Main Track Full Paper ~ Learn to Solve the Min-max Multiple Traveling Salesmen Problem with Reinforcement Learning (Page 878)


Parlar, Can (Delft University of Technology)

Extended Abstract ~ Personalized Agent Explanations for Human-Agent Teamwork: Adapting Explanations to User Trust, Workload, and Performance (Page 2316)


Parunak, H. Van Dyke (Parallax Advanced Research)

JAAMAS Track ~ How to Turn an MAS into a Graphical Causal Model (Page 1845)


 

Pasquale, Francesco (University of Rome "Tor Vergata")

Extended Abstract ~ On a Voter Model with Context-Dependent Opinion Adoption (Page 2766)


Patel, Devdhar (University of Massachusetts, Amherst)

Extended Abstract ~ Temporally Layered Architecture for Adaptive, Distributed and Continuous Control (Page 2830)


Pateria, Shubham (Singapore Management University)

Extended Abstract ~ Towards Explaining Sequences of Actions in Multi-Agent Deep Reinforcement Learning Models (Page 2325)


Paulheim, Heiko (University of Mannheim)

Extended Abstract ~ The Price of Algorithmic Pricing: Investigating Collusion in a Market Simulation with AI Agents (Page 2748)


Paull, Liam (Université de Montréal)

Extended Abstract ~ Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response of Residential Loads (Page 2502)


Pawłowski, Michał (University of Warsaw and IDEAS NCBR)

Main Track Full Paper ~ Online Matching with Delays and Stochastic Arrival Times (Page 976)


Payan, Justin (University of Massachusetts, Amherst)

Extended Abstract ~ Relaxations of Envy-Freeness Over Graphs (Page 2652)

Main Track Full Paper ~ Graphical House Allocation (Page 161)


Pearce, Tim (Microsoft Research)

Main Track Full Paper ~ TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play (Page 67)


 

Pechenizkiy, Mykola (Eindhoven University of Technology)

Main Track Full Paper ~ Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning (Page 1932)


Penczek, Wojciech (Institute of Computer Science, Polish Academy of Sciences)

Main Track Full Paper ~ Strategic (Timed) Computation Tree Logic (Page 382)


Pendurkar, Sumedh (Texas A&M University)

Main Track Full Paper ~ Bilevel Entropy based Mechanism Design for Balancing Meta in Video Games (Page 2134)


Peng, Nianli (Duke University)

Main Track Full Paper ~ Welfare and Fairness in Multi-objective Reinforcement Learning (Page 1991)


Peng, Xiangyu (Georgia Institute of Technology)

Extended Abstract ~ Neuro-Symbolic World Models for Adapting to Open World Novelty (Page 2848)


Pennock, David (Rutgers University)

Extended Abstract ~ Artificial Prediction Markets Present a Novel Opportunity for Human-AI Collaboration (Page 2304)


Pereira, Luís Moniz (Universidade Nova de Lisboa)

Extended Abstract ~ Co-evolution of Social and Non-social Guilt in Structured Populations (Page 2739)


Pérez, Guillermo A. (University of Antwerp)

Main Track Full Paper ~ Formally-Sharp DAgger for MCTS: Lower-Latency Monte Carlo Tree Search using Data Aggregation with Formal Methods (Page 1354)


 

Perrussel, Laurent (University of Toulouse Capitole - IRIT)

JAAMAS Track ~ Representing and Reasoning about Auctions (Page 1388)


Pertzovskiy, Arseni (Ben-Gurion University of the Negev)

Main Track Full Paper ~ CAMS: Collision Avoiding Max-Sum for Mobile Sensor Teams (Page 104)


Peters, Jannik (Technische Universität Berlin)

Main Track Full Paper ~ Margin of Victory for Weighted Tournament Solutions (Page 1716)


Peters, Lasse (Delft University of Technology)

Main Track Full Paper ~ Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories (Page 1062)


Petersen, Brenden (LLNL)

Main Track Full Paper ~ Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement (Page 14)


Petrich, Laura (University of Alberta & Amii)

Demonstration Track ~ Multi-Robot Warehouse Optimization: Leveraging Machine Learning for Improved Performance (Page 3047)


Petrides, Socratis (LLNL)

Main Track Full Paper ~ Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement (Page 14)


 

Petrucci, Laure (Université Sorbonne Paris Nord)

Main Track Full Paper ~ Strategic (Timed) Computation Tree Logic (Page 382)


Phade, Soham (Salesforce Research)

Extended Abstract ~ Learning Solutions in Large Economic Networks using Deep Multi-Agent Reinforcement Learning (Page 2760)


Phan, Thomy (LMU Munich)

Extended Abstract ~ Attention-Based Recurrency for Multi-Agent Reinforcement Learning under State Uncertainty (Page 2839)


Piao, Haiyin (Northwestern Polytechnical University)

Extended Abstract ~ Improving Cooperative Multi-Agent Exploration via Surprise Minimization and Social Influence Maximization (Page 2607)


Piazza, Nancirose (SAIL Lab - University of New Haven)

Extended Abstract ~ A Theory of Mind Approach as Test-Time Mitigation Against Emergent Adversarial Communication (Page 2842)


Picard, Gauthier (ONERA/DTIS, Université de Toulouse)

Main Track Full Paper ~ Multi-Agent Consensus-based Bundle Allocation for Multi-mode Composite Tasks (Page 504)


Pilgrim, Charlie (University of Warwick)

Main Track Full Paper ~ The Grapevine Web: Analysing the Spread of False Information in Social Networks with Corrupted Sources (Page 2234)


Piliouras, Georgios (Singapore University of Technology and Design)

Main Track Full Paper ~ Asymptotic Convergence and Performance of Multi-Agent Q-learning Dynamics (Page 1578)


 

Pina, Rafael (Loughborough University London)

Extended Abstract ~ Causality Detection for Efficient Multi-Agent Reinforcement Learning (Page 2824)


Piotrowski, Wiktor (Palo Alto Research Center)

Extended Abstract ~ Learning to Operate in Open Worlds by Adapting Planning Models (Page 2610)


Poletti, Silvia (University of Padua)

Extended Abstract ~ Learning Constraints From Human Stop-Feedback in Reinforcement Learning (Page 2328)


Polukarov, Maria (King's College London)

Extended Abstract ~ Error in the Euclidean Preference Model (Page 2676)


Poovendran, Radha (University of Washington)

Extended Abstract ~ Cognitive Bias-Aware Dissemination Strategies for Opinion Dynamics with External Information Sources (Page 2769)


Porteous, Julie (RMIT University)

Main Track Full Paper ~ Communicating Agent Intentions for Human-Agent Decision Making under Uncertainty (Page 290)


Poupart, Pascal (University of Waterloo & Vector Institute)

Extended Abstract ~ Defensive Collaborative Learning: Protecting Objective Privacy in Data Sharing (Page 2845)


 

Poupart, Pascal (University of Waterloo & Vector Institute)

Main Track Full Paper ~ FedFormer: Contextual Federation with Attention in Reinforcement Learning (Page 810)


Prakash, B. Aditya (Georgia Institute of Technology)

Main Track Full Paper ~ Differentiable Agent-based Epidemiology (Page 1848)


Preece, Alun (Cardiff University)

Demonstration Track ~ Visualizing Logic Explanations for Social Media Moderation (Page 3056)


Pretorius, Arnu (InstaDeep)

Extended Abstract ~ Off-the-Grid MARL: Datasets and Baselines for Offline Multi-Agent Reinforcement Learning (Page 2442)


Prévot, Laurent (Aix Marseille Univ, CNRS, LPL)

Main Track Full Paper ~ Trusting Artificial Agents: Communication Trumps Performance (Page 299)


Price, Adrian (Monash University)

Main Track Full Paper ~ Domain-Independent Deceptive Planning (Page 95)


Prieur, Christophe (GIPSA-Lab)

Main Track Full Paper ~ Enhancing Reinforcement Learning Agents with Local Guides (Page 829)


Prorok, Amanda (University of Cambridge)

Main Track Full Paper ~ Heterogeneous Multi-Robot Reinforcement Learning (Page 1485)

Main Track Full Paper ~ Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning (Page 1661)


 

Pynadath, David V. (University of Southern California)

Extended Abstract ~ Effectiveness of Teamwork-Level Interventions through Decision-Theoretic Reasoning in a Minecraft Search-and-Rescue Task (Page 2334)

Main Track Full Paper ~ Multiagent Inverse Reinforcement Learning via Theory of Mind Reasoning (Page 708)


Qian, Junqi (Shanghai Jiao Tong University)

Main Track Full Paper ~ Learning Rewards to Optimize Global Performance Metrics in Deep Reinforcement Learning (Page 1951)


Qian, Shanliang (bilibili.)

Extended Abstract ~ Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO (Page 2490)


Qian, Yushan (Tianjin University)

Main Track Full Paper ~ Think Twice: A Human-like Two-stage Conversational Agent for Emotional Response Generation (Page 727)


Qiao, Tianchi (Southeast University)

Main Track Full Paper ~ Structural Credit Assignment-Guided Coordinated MCTS: An Efficient and Scalable Method for Online Multiagent Planning (Page 543)


Qiu, Guoliang (Shanghai Jiao Tong University)

Extended Abstract ~ MMS Allocations of Chores with Connectivity Constraints: New Methods and New Results (Page 2886)


Qiu, Wei (Nanyang Technological University)

Extended Abstract ~ Off-Beat Multi-Agent Reinforcement Learning (Page 2424)

Extended Abstract ~ A Learning Approach to Complex Contagion Influence Maximization (Page 2622)


Qiu, Zirou (University of Virginia)

Main Track Full Paper ~ Assigning Agents to Increase Network-Based Neighborhood Diversity (Page 600)


 

Quera-Bofarull, Arnau (University of Oxford)

Main Track Full Paper ~ Differentiable Agent-based Epidemiology (Page 1848)

Main Track Full Paper ~ Don't Simulate Twice: One-Shot Sensitivity Analyses via Automatic Differentiation (Page 1867)


Querido, Gonçalo (INESC-ID & Instituto Superior Técnico)

Extended Abstract ~ Learning to Perceive in Deep Model-Free Reinforcement Learning (Page 2595)


Rabinovich, Zinovi (Nanyang Technological University)

Extended Abstract ~ Off-Beat Multi-Agent Reinforcement Learning (Page 2424)


Rachmut, Ben (Ben Gurion University of the Negev)

Extended Abstract ~ Asynchronous Communication Aware Multi-Agent Task Allocation (Page 2340)


Radanovic, Goran (Max Planck Institute for Software Systems)

Main Track Full Paper ~ Towards Computationally Efficient Responsibility Attribution in Decentralized Partially Observable MDPs (Page 131)


Radanovic, Goran (Max Planck Institute for Software Systems)

Main Track Full Paper ~ Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks (Page 1835)


Radke, David (Chicago Blackhawks)

Main Track Full Paper ~ Presenting Multiagent Challenges in Team Sports Analytics (Page 1781)


Radke, David (University of Waterloo)

Main Track Full Paper ~ The Importance of Credo in Multiagent Learning (Page 2243)


 

Rădulescu, Roxana (Vrije Universiteit Brussel)

JAAMAS Track ~ A Study of Nash Equilibria in Multi-Objective Normal-Form Games (Page 269)

JAAMAS Track ~ Scalar Reward is Not Enough (Page 839)

JAAMAS Track ~ A Brief Guide to Multi-Objective Reinforcement Learning and Planning (Page 1988)

Main Track Full Paper ~ Bridging the Gap Between Single and Multi Objective Games (Page 224)


Rahimian, M. Amin (University of Pittsburgh)

Extended Abstract ~ Differentially Private Network Data Collection for Influence Maximization (Page 2795)


Rahman, Tauhidur (University of California San Diego)

Extended Abstract ~ Temporally Layered Architecture for Adaptive, Distributed and Continuous Control (Page 2830)


Raj, Amit (Google)

Extended Abstract ~ Which way is 'right'?: Uncovering limitations of Vision-and-Language Navigation Models (Page 2415)


Rajtmajer, Sarah (The Pennsylvania State University)

Extended Abstract ~ Artificial Prediction Markets Present a Novel Opportunity for Human-AI Collaboration (Page 2304)


Raju, Dhananjay (The University of Texas at Austin)

Extended Abstract ~ Memoryless Adversaries in Imperfect Information Games (Page 2379)


Ramanathan, Saravanan (Nanyang Technological University)

Extended Abstract ~ Minimising Task Tardiness for Multi-Agent Pickup and Delivery (Page 2349)


 

Ramasubramanian, Bhaskar (Western Washington University)

Extended Abstract ~ Cognitive Bias-Aware Dissemination Strategies for Opinion Dynamics with External Information Sources (Page 2769)


Ramchurn, Sarvapali D. (University of Southampton)

Demonstration Track ~ Demonstrating Performance Benefits of Human-Swarm Teaming (Page 3062)

Main Track Full Paper ~ Multi-agent Signalless Intersection Management with Dynamic Platoon Formation (Page 1542)

Main Track Full Paper ~ Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observations (Page 1643)


Ramezani, Fahimeh (UNSW Sydney)

Extended Abstract ~ Proportional Fairness in Obnoxious Facility Location (Page 2646)


Ramos, Gabriel (Universidade do Vale do Rio dos Sinos)

JAAMAS Track ~ Scalar Reward is Not Enough (Page 839)

JAAMAS Track ~ A Brief Guide to Multi-Objective Reinforcement Learning and Planning (Page 1988)


Rana, Santu (Deakin University)

Main Track Full Paper ~ Controlled Diversity with Preference : Towards Learning a Diverse Set of Desired Skills (Page 1135)


Rangwala, Huzefa (George Mason University)

Extended Abstract ~ Counterfactually Fair Dynamic Assignment: A Case Study on Policing (Page 2526)


Rappel, Ori (Technion - Israel Institute of Technology)

Main Track Full Paper ~ Stigmergy-based, Dual-Layer Coverage of Unknown Regions (Page 1439)


Raskar, Ramesh (Massachusetts Institute of Technology)

Main Track Full Paper ~ Differentiable Agent-based Epidemiology (Page 1848)

Main Track Full Paper ~ Don't Simulate Twice: One-Shot Sensitivity Analyses via Automatic Differentiation (Page 1867)


 

Raskin, Jean-François (Université Libre de Bruxelles)

Main Track Full Paper ~ Formally-Sharp DAgger for MCTS: Lower-Latency Monte Carlo Tree Search using Data Aggregation with Formal Methods (Page 1354)


Ravi, S.S. (University of Virginia & University at Albany - SUNY)

Main Track Full Paper ~ Assigning Agents to Increase Network-Based Neighborhood Diversity (Page 600)


Ravichandar, Harish (Georgia Institute of Technology)

Extended Abstract ~ Inferring Implicit Trait Preferences from Demonstrations of Task Allocation in Heterogeneous Teams (Page 2798)


Ravindran, Balaraman (IIT Madras)

Extended Abstract ~ Matching Options to Tasks using Option-Indexed Hierarchical Reinforcement Learning (Page 2631)


Ray, Oliver (University of Bristol)

Main Track Full Paper ~ Agent-directed Runtime Norm Synthesis (Page 2271)


Rebeiro, Tiago (Soul Machines)

Demonstration Track ~ Real Time Gesturing in Embodied Agents for Dynamic Content Creation (Page 3068)


Reddy, Akash (IIT Madras)

Extended Abstract ~ Matching Options to Tasks using Option-Indexed Hierarchical Reinforcement Learning (Page 2631)


Rehg, James M. (Georgia Institute of Technology)

Extended Abstract ~ Which way is 'right'?: Uncovering limitations of Vision-and-Language Navigation Models (Page 2415)


 

Reis, Willy Arthur Silva (University of São Paulo)

Extended Abstract ~ Forward-PECVaR Algorithm: Exact Evaluation for CVaR SSPs (Page 2364)


Ren, Fenghui (University of Wollongong)

Extended Abstract ~ A Decentralized Agent-Based Task Scheduling Framework for Handling Uncertain Events in Fog Computing (Page 2736)


Ren, Runtian (University of Warsaw and IDEAS NCBR)

Main Track Full Paper ~ Online Matching with Delays and Stochastic Arrival Times (Page 976)


Restelli, Marcello (Politecnico di Milano)

JAAMAS Track ~ A Brief Guide to Multi-Objective Reinforcement Learning and Planning (Page 1988)


Rey, Simon (ILLC, University of Amsterdam)

Main Track Full Paper ~ Bounded Approval Ballots: Balancing Expressiveness and Simplicity for Multiwinner Elections (Page 1400)

Main Track Full Paper ~ Fairness in Participatory Budgeting via Equality of Resources (Page 2031)


Reymond, Mathieu (Vrije Universiteit Brussel)

JAAMAS Track ~ A Brief Guide to Multi-Objective Reinforcement Learning and Planning (Page 1988)


Ribeiro, Taíssa (INESC-ID & Instituto Superior Técnico)

Extended Abstract ~ Modeling the Interpretation of Animations to Help Improve Emotional Expression (Page 2301)


Ricci, Alessandro (AAMAS 2023 Programme Chair)

Welcome ~ Welcome Message from the Chairs (Page welcome)


 

Rice, Eric (University of Southern California)

Extended Abstract ~ A Learning Approach to Complex Contagion Influence Maximization (Page 2622)


Riedl, Mark O. (Georgia Institute of Technology)

Extended Abstract ~ Neuro-Symbolic World Models for Adapting to Open World Novelty (Page 2848)


Rigter, Marc (University of Oxford)

Main Track Full Paper ~ Risk-Constrained Planning for Multi-Agent Systems with Shared Resources (Page 113)


Ritossa, Angus (UNSW Sydney)

Main Track Full Paper ~ Fair Allocation of Two Types of Chores (Page 143)


Ritz, Fabian (LMU Munich)

Extended Abstract ~ Attention-Based Recurrency for Multi-Agent Reinforcement Learning under State Uncertainty (Page 2839)


Robb, David A. (Heriot-Watt University)

Extended Abstract ~ Explanation Styles for Trustworthy Autonomous Systems (Page 2298)


Robu, Bogdan (GIPSA-Lab)

Main Track Full Paper ~ Enhancing Reinforcement Learning Agents with Local Guides (Page 829)


Rodrigues, Ricardo (INESC-ID & Instituto Superior Técnico)

Extended Abstract ~ Modeling the Interpretation of Animations to Help Improve Emotional Expression (Page 2301)


 

Rodriguez, Sebastian (RMIT University)

Main Track Full Paper ~ A Behaviour-Driven Approach for Testing Requirements via User and System Stories in Agent Systems (Page 1182)


Rodríguez, Alexander (Georgia Institute of Technology)

Doctoral Consortium ~ AI & Multi-agent Systems for Data-centric Epidemic Forecasting (Page 2943)


Rodríguez, Alexander (Georgia Institute of Technology)

Main Track Full Paper ~ Differentiable Agent-based Epidemiology (Page 1848)


Rodriguez Diaz, Paula (Harvard University)

Main Track Full Paper ~ Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks (Page 1321)


Rodriguez-Aguilar, Juan A. (IIIA-CSIC)

Main Track Full Paper ~ Value Inference in Sociotechnical Systems (Page 1774)


Roig Vilamala, Marc (Cardiff University)

Demonstration Track ~ Visualizing Logic Explanations for Social Media Moderation (Page 3056)


Roijers, Diederik M. (Vrije Universiteit Brussel & City of Amsterdam)

JAAMAS Track ~ A Study of Nash Equilibria in Multi-Objective Normal-Form Games (Page 269)

JAAMAS Track ~ Scalar Reward is Not Enough (Page 839)

JAAMAS Track ~ A Brief Guide to Multi-Objective Reinforcement Learning and Planning (Page 1988)

Main Track Full Paper ~ Bridging the Gap Between Single and Multi Objective Games (Page 224)

Main Track Full Paper ~ Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization (Page 2003)


 

Romero, Alejandro (Universidade da Coruña)

Extended Abstract ~ Learning Multiple Tasks with Non-stationary Interdependencies in Autonomous Robots (Page 2547)


Roncone, Alessandro (University of Colorado Boulder)

Extended Abstract ~ Hierarchical Reinforcement Learning for Ad Hoc Teaming (Page 2337)


Röpke, Willem (Vrije Universiteit Brussel)

Doctoral Consortium ~ Reinforcement Learning in Multi-Objective Multi-Agent Systems (Page 2999)

JAAMAS Track ~ A Study of Nash Equilibria in Multi-Objective Normal-Form Games (Page 269)

Main Track Full Paper ~ Bridging the Gap Between Single and Multi Objective Games (Page 224)


Roscher, Karsten (Fraunhofer IKS)

Main Track Full Paper ~ Out-of-Distribution Detection for Reinforcement Learning Agents with Probabilistic Dynamics Models (Page 851)


Rosenkrantz, Daniel J. (University of Virginia & University at Albany - SUNY)

Main Track Full Paper ~ Assigning Agents to Increase Network-Based Neighborhood Diversity (Page 600)


Roseti, Pasquale (University of Modena and Reggio Emilia)

Extended Abstract ~ Towards Multi-agent Learning of Causal Networks (Page 2807)


Rosman, Benjamin (The University of the Witwatersrand)

Extended Abstract ~ The Challenge of Redundancy on Multi-agent Value Factorisation (Page 2436)


 

Ross, Björn (University of Edinburgh)

Demonstration Track ~ A Web-based Tool for Detecting Argument Validity and Novelty (Page 3053)


Rossi, Francesca (IBM Research)

Extended Abstract ~ Computational Complexity of Verifying the Group No-show Paradox (Page 2877)


Roy, Sanjukta (The Pennsylvania State University)

Main Track Full Paper ~ Hedonic Games With Friends, Enemies, and Neutrals: Resolving Open Questions and Fine-Grained Complexity (Page 251)


Roy, Souvik (Indian Statistical Institute)

Extended Abstract ~ Individual-Fair and Group-Fair Social Choice Rules under Single-Peaked Preferences (Page 2872)


Rozenzweig, Inbal (Technion - Israel Institute of Technology)

Main Track Full Paper ~ Mitigating Skewed Bidding for Conference Paper Assignment (Page 573)


Ruan, Jingqing (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences)

Main Track Full Paper ~ M3: Modularization for Multi-task and Multi-agent Offline Pre-training (Page 1624)


Ruan, Sikai (Rensselaer Polytechnic Institute)

Extended Abstract ~ Computational Complexity of Verifying the Group No-show Paradox (Page 2877)


 

Rubinstein, Benjamin I.P. (University of Melbourne)

Extended Abstract ~ An Adversarial Strategic Game for Machine Learning as a Service using System Features (Page 2508)


Russell, Joshua (University of Massachusetts, Amherst)

Extended Abstract ~ Temporally Layered Architecture for Adaptive, Distributed and Continuous Control (Page 2830)


Ryan, Jack (University of Southampton)

Demonstration Track ~ Demonstrating Performance Benefits of Human-Swarm Teaming (Page 3062)


S, Aniruddha (IIT Madras)

Extended Abstract ~ Matching Options to Tasks using Option-Indexed Hierarchical Reinforcement Learning (Page 2631)


S, Krishna (IIT Bombay)

Extended Abstract ~ LTL-Based Non-Markovian Inverse Reinforcement Learning (Page 2857)


Saadat-Yazdi, Ameer (University of Edinburgh)

Demonstration Track ~ A Web-based Tool for Detecting Argument Validity and Novelty (Page 3053)


Sadhukhan, Soumyarup (Indian Institute of Technology)

Extended Abstract ~ Individual-Fair and Group-Fair Social Choice Rules under Single-Peaked Preferences (Page 2872)


Sagar, Mark (Soul Machines)

Demonstration Track ~ Real Time Gesturing in Embodied Agents for Dynamic Content Creation (Page 3068)


 

Sahir (Alberta Machine Intelligence Institute)

Demonstration Track ~ Multi-Robot Warehouse Optimization: Leveraging Machine Learning for Improved Performance (Page 3047)


Sankararaman, Karthik Abinav (Meta)

Main Track Full Paper ~ Allocation Problem in Remote Teleoperation: Online Matching with Offline Reusable Resources and Delayed Assignments (Page 513)


Sankowski, Piotr (University of Warsaw, IDEAS NCBR and MIM Solutions)

Main Track Full Paper ~ Online Matching with Delays and Stochastic Arrival Times (Page 976)


Sankur, Ocan (Univ Rennes, CNRS, Inria)

Main Track Full Paper ~ Improved Complexity Results and an Efficient Solution for Connected Multi-Agent Path Finding (Page 896)


Santorinaios, Christodoulos (Athens University of Economics and Business and Archimedes Research Unit)

Main Track Full Paper ~ Improved EFX Approximation Guarantees under Ordinal-based Assumptions (Page 591)


Santos, Fernando P. (University of Amsterdam)

Extended Abstract ~ Balancing Fairness and Efficiency in Transport Network Design through Reinforcement Learning (Page 2532)

Extended Abstract ~ Opinion Dynamics in Populations of Converging and Polarizing Agents (Page 2763)

Main Track Full Paper ~ The Role of Space, Density and Migration in Social Dilemmas (Page 625)


Santucci, Vieri Giuliano (National Research Council of Italy)

Extended Abstract ~ Learning Multiple Tasks with Non-stationary Interdependencies in Autonomous Robots (Page 2547)


 

Sanyal, Swagato (Indian Institute of Technology, Kharagpur)

Extended Abstract ~ Sampling-Based Winner Prediction in District-Based Elections (Page 2661)

Extended Abstract ~ Feature-based Individual Fairness in k-clustering (Page 2772)


Saravia, Andrés R. (UNC & CONICET)

Main Track Full Paper ~ A Deontic Logic of Knowingly Complying (Page 364)


Sardinha, Alberto (INESC-ID, Instituto Superior Técnico, & PUC-Rio)

Extended Abstract ~ Learning to Perceive in Deep Model-Free Reinforcement Learning (Page 2595)


Şarkadi, Stefan (King's College London)

Main Track Full Paper ~ Should My Agent Lie for Me? A Study on Attitudes of US-basedParticipants Towards Deceptive AI in Selected Future-of-work (Page 345)


Sarkar, Atrisha (University of Toronto)

Main Track Full Paper ~ Revealed Multi-Objective Utility Aggregation in Human Driving (Page 1979)


Sartoretti, Guillaume (National University of Singapore)

Extended Abstract ~ SCRIMP: Scalable Communication for Reinforcement- and Imitation-Learning-Based Multi-Agent Pathfinding (Page 2598)

Main Track Full Paper ~ SocialLight: Distributed Cooperation Learning towards Network-Wide Traffic Signal Control (Page 1551)


Saur, Roland (Centrum Wiskunde & Informatica and TU Delft)

Extended Abstract ~ Fair Pricing for Time-Flexible Smart Energy Markets (Page 2703)


 

Savarese, Silvio (Salesforce AI Research)

Extended Abstract ~ Modeling Dynamic Environments with Scene Graph Memory (Page 2851)


Savelli, Joël (Université de Bourgogne-Franche-Comté)

Extended Abstract ~ COBAI : A Generic Agent-based Model of Human Behaviors Centered on Contexts and Interactions (Page 2757)


Scarlett, Jonathan (National University of Singapore)

Extended Abstract ~ For One and All: Individual and Group Fairness in the Allocation of Indivisible Goods (Page 2466)


Scarsini, Marco (Luiss University)

Main Track Full Paper ~ Learning the Stackelberg Equilibrium in a Newsvendor Game (Page 242)


Schaar, Nathan (Technische Universität Berlin)

Main Track Full Paper ~ Collecting, Classifying, Analyzing, and Using Real-World Ranking Data (Page 1706)


Scheiner, Tristan (Rose-Hulman Institute of Technology)

Extended Abstract ~ Multi-Team Fitness Critics For Robust Teaming (Page 2406)


Scheutz, Matthias (Tufts University)

Extended Abstract ~ Improving Human-Robot Team Performance with Proactivity and Shared Mental Models (Page 2322)

Extended Abstract ~ Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments (Page 2385)

Extended Abstract ~ The Resilience Game: A New Formalization of Resilience for Groups of Goal-Oriented Autonomous Agents (Page 2792)


Schierreich, Šimon (Czech Technical University in Prague)

Main Track Full Paper ~ Host Community Respecting Refugee Housing (Page 966)


 

Schlechtinger, Michael (University of Mannheim)

Extended Abstract ~ The Price of Algorithmic Pricing: Investigating Collusion in a Market Simulation with AI Agents (Page 2748)


Schmalhofer, Marco (Goethe University)

Main Track Full Paper ~ Best of Both Worlds: Agents with Entitlements (Page 564)


Schmidtlein, Marie Christin (University of Amsterdam)

Main Track Full Paper ~ Voting by Axioms (Page 2067)


Schmoeller da Roza, Felippe (Fraunhofer IKS)

Main Track Full Paper ~ Out-of-Distribution Detection for Reinforcement Learning Agents with Probabilistic Dynamics Models (Page 851)


Schuldenzucker, Steffen (Goethe University Frankfurt)

Main Track Full Paper ~ Equilibria and Convergence in Fire Sale Games (Page 215)


Schuler, Moritz Lukas (Singapore Management University)

Main Track Full Paper ~ Knowledge Compilation for Constrained Combinatorial Action Spaces in Reinforcement Learning (Page 860)


Schwartz, Jonathon (The Australian National University)

Doctoral Consortium ~ Towards Scalable and Robust Decision Making in Partially Observable, Multi-Agent Environments (Page 2996)

Extended Abstract ~ Bayes-Adaptive Monte-Carlo Planning for Type-Based Reasoning in Large Partially Observable, Multi-Agent Environments (Page 2355)


 

Schwarzentruber, François (Univ Rennes)

Extended Abstract ~ Reasoning about Uncertainty in AgentSpeak using Dynamic Epistemic Logic (Page 2394)

Main Track Full Paper ~ Improved Complexity Results and an Efficient Solution for Connected Multi-Agent Path Finding (Page 896)


Segal-Halevi, Erel (Ariel University)

Main Track Full Paper ~ Efficient Nearly-Fair Division with Capacity Constraints (Page 206)


Seifert, Lars (Hasso Plattner Institute)

Extended Abstract ~ Single-Peaked Jump Schelling Games (Page 2899)


Sejnowski, Terrence (Salk Institute for Biological Studies)

Extended Abstract ~ Temporally Layered Architecture for Adaptive, Distributed and Continuous Control (Page 2830)


Semeraro, Francesco (The University of Manchester)

Extended Abstract ~ Simpler rather than Challenging: Design of Non-Dyadic Human-Robot Collaboration to Mediate Human-Human Concurrent Tasks (Page 2541)


Semineth, Miriam (University of Würzburg)

Main Track Full Paper ~ Reducing Racial Bias by Interacting with Virtual Agents: An Intervention in Virtual Reality (Page 747)


Sengadu Suresh, Prasanth (University of Georgia)

Main Track Full Paper ~ Dec-AIRL: Decentralized Adversarial IRL for Human-Robot Teaming (Page 1116)


Sengupta, Rik (University of Massachusetts, Amherst)

Extended Abstract ~ Relaxations of Envy-Freeness Over Graphs (Page 2652)

Main Track Full Paper ~ Graphical House Allocation (Page 161)


 

Sengupta, Sailik (AWS AI Labs)

Extended Abstract ~ 'Why didn't you allocate this task to them?' Negotiation-Aware Explicable Task Allocation and Contrastive Explanation Generation (Page 2292)


Şensoy, Murat (Ozyegin University)

Extended Abstract ~ Explain to Me: Towards Understanding Privacy Decisions (Page 2790)


Seo, Sangwon (Rice University)

Main Track Full Paper ~ Automated Task-Time Interventions to Improve Teamwork using Imitation Learning (Page 335)


Septon, Yael (Technion)

Extended Abstract ~ Explaining Agent Preferences and Behavior: Integrating Reward Decomposition and Contrastive Highlights (Page 2295)


Sequeira, Pedro (SRI)

Extended Abstract ~ Effectiveness of Teamwork-Level Interventions through Decision-Theoretic Reasoning in a Minecraft Search-and-Rescue Task (Page 2334)

Main Track Full Paper ~ Multiagent Inverse Reinforcement Learning via Theory of Mind Reasoning (Page 708)


Serramia, Marc (King's College London)

Main Track Full Paper ~ Predicting Privacy Preferences for Smart Devices as Norms (Page 2262)


Sethia, Aditi (Indian Institute of Technology)

Doctoral Consortium ~ Fine Grained Complexity of Fair and Efficient Allocations (Page 2958)

Extended Abstract ~ The Complexity of Minimizing Envy in House Allocation (Page 2673)


Seymour, William (King's College London)

Main Track Full Paper ~ Predicting Privacy Preferences for Smart Devices as Norms (Page 2262)


 

Shadagopan M N, Nischith (IIT Madras)

Main Track Full Paper ~ Gathering of Anonymous Agents (Page 1457)


Shah, Nisarg (University of Toronto)

Extended Abstract ~ Group Fairness in Peer Review (Page 2889)

Main Track Full Paper ~ The Distortion of Approval Voting with Runoff (Page 1752)


Shakya, Garima (Kyushu University)

Main Track Full Paper ~ Social Distancing via Social Scheduling (Page 1858)


Shankar, Ajay (University of Cambridge)

Main Track Full Paper ~ Heterogeneous Multi-Robot Reinforcement Learning (Page 1485)


Shao, Jiawei (The Hong Kong University of Science and Technology)

Main Track Full Paper ~ AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning (Page 427)


Shao, Qian (Singapore Management University)

Main Track Full Paper ~ Preference-Aware Delivery Planning for Last-Mile Logistics (Page 1524)


Shapiro, Amir (Ben-Gurion University)

Main Track Full Paper ~ Optimally Solving the Multiple Watchman Route Problem with Heuristic Search (Page 905)


 

Sharon, Guni (Texas A&M University)

Main Track Full Paper ~ Bilevel Entropy based Mechanism Design for Balancing Meta in Video Games (Page 2134)


Shelke, Omkar (TCS Research)

Main Track Full Paper ~ Follow your Nose: Using General Value Functions for Directed Exploration in Reinforcement Learning (Page 802)


Shen, Li (JD Explore Academy)

Extended Abstract ~ Provably Efficient Convergence of Primal-Dual Actor-Critic with Nonlinear Function Approximation (Page 2640)


Shen, Ming (Arizona State University)

Extended Abstract ~ Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments (Page 2385)


Shen, Weiran (Renmin University of China)

Extended Abstract ~ Revenue Maximization Mechanisms for an Uninformed Mediator with Communication Abilities (Page 2922)


Shen, Yan (University at Buffalo)

Main Track Full Paper ~ FedMM: A Communication Efficient Solver for Federated Adversarial Domain Adaptation (Page 1808)


Shen, Zeyu (Duke University)

Main Track Full Paper ~ Fairness in the Assignment Problem with Uncertain Priorities (Page 188)


 

Shen, Zhiqi (Nanyang Technological University)

Extended Abstract ~ A Teachable Agent to Enhance Elderly's Ikigai (Page 2319)


Sheng, Junjie (East China Normal University)

JAAMAS Track ~ Learning Structured Communication for Multi-Agent Reinforcement Learning (Page 436)


Shenoy, Pradeep (Google Research)

Extended Abstract ~ Matching Options to Tasks using Option-Indexed Hierarchical Reinforcement Learning (Page 2631)


Sher, Yoni (Palo Alto Research Center)

Extended Abstract ~ Learning to Operate in Open Worlds by Adapting Planning Models (Page 2610)


Shi, Chongyang (University of Florida)

Main Track Full Paper ~ Quantitative Planning with Action Deception in Concurrent Stochastic Games (Page 122)


Shi, Longxiang (Zhejiang University City College)

Main Track Full Paper ~ Efficient Interactive Recommendation via Huffman Tree-based Policy Learning (Page 1495)


Shi, Yufeng (University of Science and Technology of China)

Main Track Full Paper ~ Multi-Agent Reinforcement Learning with Safety Layer for Active Voltage Control (Page 1533)


 

Shi, Zijian (University of Bristol)

Extended Abstract ~ Neural Stochastic Agent-Based Limit Order Book Simulation: A Hybrid Methodology (Page 2481)


Shigenaka, Shusuke (University of Tsukuba)

Extended Abstract ~ Simulation Model with Side Trips at a Large-Scale Event (Page 2745)


Shock, Jonathan (University of Cape Town, NiTheCS, & INRS Montreal)

Extended Abstract ~ Off-the-Grid MARL: Datasets and Baselines for Offline Multi-Agent Reinforcement Learning (Page 2442)


Shoshan, Hila (Ariel University)

Main Track Full Paper ~ Efficient Nearly-Fair Division with Capacity Constraints (Page 206)


Shperberg, Shahaf S. (Ben-Gurion University)

Extended Abstract ~ Relaxed Exploration Constrained Reinforcement Learning (Page 2821)


Sidorenko, Galina (Halmstad University)

Extended Abstract ~ Evaluating a Mechanism for Explaining BDI Agent Behaviour (Page 2283)


Sidoruk, Teofil (Warsaw University of Technology)

Main Track Full Paper ~ Strategic (Timed) Computation Tree Logic (Page 382)


Siegelmann, Hava (University of Massachusetts, Amherst)

Extended Abstract ~ Temporally Layered Architecture for Adaptive, Distributed and Continuous Control (Page 2830)


 

Sikdar, Sujoy (Binghamton University)

Main Track Full Paper ~ Fairly Dividing Mixtures of Goods and Chores under Lexicographic Preferences (Page 152)


Silva, Arlei (Rice University)

Extended Abstract ~ Feature-based Individual Fairness in k-clustering (Page 2772)


Simola, Sofia (TU Wien)

Main Track Full Paper ~ Hedonic Games With Friends, Enemies, and Neutrals: Resolving Open Questions and Fine-Grained Complexity (Page 251)


Sinapov, Jivko (Tufts University)

Extended Abstract ~ Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments (Page 2385)


Singh, Munindar P. (North Carolina State University)

Demonstration Track ~ Interaction-Oriented Programming: Intelligent, Meaning-Based Multiagent Systems (Page 3041)

JAAMAS Track ~ Mandrake: Multiagent Systems as a Basis for Programming Fault-Tolerant Decentralized Applications (Page 1218)

Main Track Full Paper ~ Kiko: Programming Agents to Enact Interaction Models (Page 1154)


Singh, Sagalpreet (Indian Institute of Technology Ropar)

Main Track Full Paper ~ On Subset Selection of Multiple Humans To Improve Human-AI Team Accuracy (Page 317)


Singh, Siddarth Shandeep (Instadeep Ltd)

Extended Abstract ~ The Challenge of Redundancy on Multi-agent Value Factorisation (Page 2436)


Singh, Vaibhav (The Pennsylvania State University)

Extended Abstract ~ Artificial Prediction Markets Present a Novel Opportunity for Human-AI Collaboration (Page 2304)


 

Singla, Adish (Max Planck Institute for Software Systems)

Main Track Full Paper ~ Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks (Page 1835)


Sinha, Tanmay (Microsoft Research)

Extended Abstract ~ Do As You Teach: A Multi-Teacher Approach to Self-Play in Deep Reinforcement Learning (Page 2457)


Skibski, Oskar (University of Warsaw)

Main Track Full Paper ~ Axiomatic Analysis of Medial Centrality Measures (Page 2188)


Skretas, George (Hasso Plattner Institute)

Main Track Full Paper ~ Being an Influencer is Hard: The Complexity of Influence Maximization in Temporal Graphs with a Fixed Source (Page 2222)


Skyler, Shawn (Ben-Gurion University)

Main Track Full Paper ~ Optimally Solving the Multiple Watchman Route Problem with Heuristic Search (Page 905)


Smith, Benjamin J. (University of Oregon)

JAAMAS Track ~ Scalar Reward is Not Enough (Page 839)


Sojoudi, Somayeh (University of California, Berkeley)

Main Track Full Paper ~ Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories (Page 1062)


Sokar, Ghada (Eindhoven University of Technology)

Main Track Full Paper ~ Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning (Page 1932)


 

Solanki, Napendra (Indian Institute of Technology Ropar)

Main Track Full Paper ~ Fairness Driven Efficient Algorithms for Sequenced Group Trip Planning Query Problem (Page 86)


Song, Meichen (Stony Brook University & Shanghai Qi Zhi Institute)

Main Track Full Paper ~ Differentiable Arbitrating in Zero-sum Markov Games (Page 1034)


Soni, Utkarsh (Arizona State University)

Extended Abstract ~ Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments (Page 2385)


Soorati, Mohammad D. (University of Southampton)

Demonstration Track ~ Demonstrating Performance Benefits of Human-Swarm Teaming (Page 3062)


Spanjaard, Olivier (Sorbonne Université, CNRS, LIP6)

Extended Abstract ~ Robust Ordinal Regression for Collaborative Preference Learning with Opinion Synergies (Page 2439)


Spooner, Thomas (Sutter Hill Ventures)

Extended Abstract ~ Phantom - A RL-driven Multi-Agent Framework to Model Complex Systems (Page 2742)


Springer, Max (University of Maryland)

Extended Abstract ~ Analysis of a Learning Based Algorithm for Budget Pacing (Page 2709)


Sreedharan, Sarath (Colorado State University)

Extended Abstract ~ Goal Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AI (Page 2331)


 

Sreedurga, Gogulapati (Indian Institute of Science)

Extended Abstract ~ Indivisible Participatory Budgeting with Multiple Degrees of Sophistication of Projects (Page 2694)

Extended Abstract ~ Individual-Fair and Group-Fair Social Choice Rules under Single-Peaked Preferences (Page 2872)

Main Track Full Paper ~ The Rule-Tool-User Nexus in Digital Collective Decisions (Page 1792)


Srinivas, Aarun (Georgia Institute of Technology)

Extended Abstract ~ Neuro-Symbolic World Models for Adapting to Open World Novelty (Page 2848)


Srinivasa, Srinath (International Institute of Information Technology, Bangalore)

Extended Abstract ~ Modeling Application Scenarios for Responsible Autonomy using Computational Transcendence (Page 2496)


Stearns, Richard E. (University of Virginia & University at Albany - SUNY)

Main Track Full Paper ~ Assigning Agents to Increase Network-Based Neighborhood Diversity (Page 600)


Stein, Sebastian (University of Southampton)

Demonstration Track ~ The Influence Maximisation Game (Page 3059)

Main Track Full Paper ~ Citizen-Centric Multiagent Systems (Page 1802)


Stern, Roni (Ben-Gurion University of the Negev)

Extended Abstract ~ Blame Attribution for Multi-Agent Pathfinding Execution Failures (Page 2358)

Extended Abstract ~ Learning to Operate in Open Worlds by Adapting Planning Models (Page 2610)


Sternbach, Helen (The Hebrew University)

Extended Abstract ~ Fair Facility Location for Socially Equitable Representation (Page 2775)


 

Stone, Peter (The University of Texas at Austin)

Extended Abstract ~ Relaxed Exploration Constrained Reinforcement Learning (Page 2821)

Main Track Full Paper ~ D-Shape: Demonstration-Shaped Reinforcement Learning via Goal-Conditioning (Page 1267)


Stringer, Peter (University of Manchester)

Extended Abstract ~ Updating Action Descriptions and Plans for Cognitive Agents (Page 2370)


Studer, Thomas (University of Bern)

Extended Abstract ~ What Do You Care About: Inferring Values from Emotions (Page 2289)


Suarez, Joseph (Massachusetts Institute of Technology)

Extended Abstract ~ Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO (Page 2490)


Subagdja, Budhitama (Singapore Management University)

Extended Abstract ~ Towards Explaining Sequences of Actions in Multi-Agent Deep Reinforcement Learning Models (Page 2325)


Subrahmanian, V.S. (Northwestern University)

Extended Abstract ~ Finding Optimal Nash Equilibria in Multiplayer Games via Correlation Plans (Page 2712)


Subramani, Deepak (Indian Institute of Science, Bangalore)

Main Track Full Paper ~ Intelligent Onboard Routing in Stochastic Dynamic Environments using Transformers (Page 1688)


 

Subramanian, Jayakumar (Adobe Media and Data Science Research)

Main Track Full Paper ~ Differentiable Agent-based Epidemiology (Page 1848)


Subramanian, Sriram Ganapathi (Vector Institute & University of Waterloo)

Extended Abstract ~ Two-Level Actor-Critic Using Multiple Teachers (Page 2589)


Suenari, Nobuhiro (Panasonic Holdings Corporation)

Extended Abstract ~ Online Re-Planning and Adaptive Parameter Update for Multi-Agent Path Finding with Stochastic Travel Times (Page 2556)


Sugawara, Toshiharu (Waseda University)

Main Track Full Paper ~ Distributed Planning with Asynchronous Execution with Local Navigation for Multi-agent Pickup and Delivery Problem (Page 914)


Sullins, Michael (University of Illinois at Chicago)

Main Track Full Paper ~ Multiplicative Weight Updates for Extensive Form Games (Page 1071)


Sun, Ankang (University of Warwick)

JAAMAS Track ~ Equitability and Welfare Maximization for Allocating Indivisible Items (Page 561)


Sun, Guoxin (University of Melbourne)

Extended Abstract ~ An Adversarial Strategic Game for Machine Learning as a Service using System Features (Page 2508)


Sun, Haoyuan (University of Science and Technology of China)

Main Track Full Paper ~ Less Is More: Refining Datasets for Offline Reinforcement Learning with Reward Machines (Page 1239)


 

Sun, Mingfei (University of Manchester)

Main Track Full Paper ~ Trust Region Bounds for Decentralized PPO Under Non-stationarity (Page 5)


Sun, Mingyang (Dalian University of Technology)

Extended Abstract ~ Improving Cooperative Multi-Agent Exploration via Surprise Minimization and Social Influence Maximization (Page 2607)


Sun, Qisong (Tianjin University)

Extended Abstract ~ Transfer Learning based Agent for Automated Negotiation (Page 2895)


Sun, Xiaolin (Tulane University)

Extended Abstract ~ Does Delegating Votes Protect Against Pandering Candidates? (Page 2685)


Sun, Yiwen (Fudan University)

Main Track Full Paper ~ Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation (Page 1652)


Sun, Zhaohong (Cyberagent Inc.)

Extended Abstract ~ Matching Algorithms under Diversity-Based Reservations (Page 2469)


Sun, Zhuo (Northwestern Polytechnical University)

Extended Abstract ~ Learning to Self-Reconfigure for Freeform Modular Robots via Altruism Multi-Agent Reinforcement Learning (Page 2544)


Sunehag, Peter (DeepMind)

Extended Abstract ~ Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition (Page 2827)


 

Sung, Youngchul (KAIST)

Main Track Full Paper ~ A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning (Page 40)

Main Track Full Paper ~ Parameter Sharing with Network Pruning for Scalable Multi-Agent Deep Reinforcement Learning (Page 1942)


Suzuki, Mashbat (UNSW Sydney)

Main Track Full Paper ~ Fair Allocation of Two Types of Chores (Page 143)


Swami, Ananthram (DEVCOM U.S. Army Reserach Lab)

Demonstration Track ~ The Influence Maximisation Game (Page 3059)


Swarup, Samarth (University of Virginia)

Extended Abstract ~ Towards Optimal and Scalable Evacuation Planning Using Data-driven Agent Based Models (Page 2397)


Sycara, Katia (Carnegie Mellon University)

Extended Abstract ~ Emergent Compositional Concept Communication through Mutual Information in Multi-Agent Teams (Page 2391)


Sychrovský, David (Charles University)

Main Track Full Paper ~ Price of Anarchy in a Double-Sided Critical Distribution System (Page 582)


Syed, Talat (University of Alberta & Amii)

Demonstration Track ~ Multi-Robot Warehouse Optimization: Leveraging Machine Learning for Improved Performance (Page 3047)


Szufa, Stanisław (AGH University)

Main Track Full Paper ~ A Map of Diverse Synthetic Stable Roommates Instances (Page 1003)