AAMAS 2024: Proceedings of the 2024 International Conference on Autonomous Agents and Multiagent Systems

Garcia, Sebastián (Artificial Intelligence Center, Department of Computer Science, Faculty of Electrical Engineering, Czech Technical University in Prague)

Full Research Paper ~ Trust in Shapley: A Cooperative Quest for Global Trust in P2P Network (Page 132)

Gatti, Nicola (Politecnico di Milano)

Full Research Paper ~ Finding Effective Ad Allocations: How to Exploit User History (Page 262)

Gautier, Anna (KTH Royal Institute of Technology)

Full Research Paper ~ Multi-Robot Allocation of Assistance from a Shared Uncertain Operator (Page 400)

Gavenski, Nathan (King's College Longon)

Demonstration Track ~ Imitation Learning Datasets: A Toolkit For Creating Datasets, Training Agents and Benchmarking (Page 2800)

Ge, Yaoxin (ShanghaiTech University)

Full Research Paper ~ Incentives for Early Arrival in Cooperative Games (Page 651)

Gebrekidan, Tesfay Zemuy (University of Southampton)

Full Research Paper ~ Deep Reinforcement Learning with Coalition Action Selection for Online Combinatorial Resource Allocation with Arbitrary Action Space (Page 660)

Extended Abstract ~ Combinatorial Client-Master Multiagent Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing (Page 2273)

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Geist, Matthieu (Cohere)

Extended Abstract ~ Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning (Page 2561)

Gemp, Ian (Google DeepMind)

Full Research Paper ~ Approximating the Core via Iterative Coalition Sampling (Page 669)

Gendron, Gaël (NAOInstitute, The University of Auckland)

Extended Abstract ~ Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks (Page 2276)

Geng, Minghong (Singapore Management University)

Extended Abstract ~ Benchmarking MARL on Long Horizon Sequential Multi-Objective Tasks (Page 2279)

Extended Abstract ~ Explaining Sequences of Actions in Multi-agent Deep Reinforcement Learning Models (Page 2537)

Doctoral Consortium ~ Scaling up Cooperative Multi-agent Reinforcement Learning Systems (Page 2737)

Gerding, Enrico H. (University of Southampton)

Full Research Paper ~ Online Decentralised Mechanisms for Dynamic Ridesharing (Page 1602)

Blue Sky Ideas Track ~ Adaptive Incentive Engineering in Citizen-Centric AI (Page 2684)

Gerevini, Alfonso Emilio (University of Brescia)

Full Research Paper ~ Fast and Slow Goal Recognition (Page 354)

Ghaemi, Hafez (School of ECE, University of Tehran)

Extended Abstract ~ Risk-Sensitive Multi-Agent Reinforcement Learning in Network Aggregative Markov Games (Page 2282)

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Ghalme, Ganesh (Indian Institute of Technology Hyderabad)

Full Research Paper ~ Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic Bandits (Page 1576)

Ghasemi, Farnoud (Faculty of Mathematics and Computer Science, Jagiellonian University)

Full Research Paper ~ Modelling the Rise and Fall of Two-sided Markets (Page 679)

Ghorrati, Zahra (Purdue University)

Full Research Paper ~ Holonic Learning: A Flexible Agent-based Distributed Machine Learning Framework (Page 525)

Ghose, Aditya (University of Wollongong)

JAAMAS Track ~ Toward a Normative Approach for Resilient Multiagent Systems: A Summary (Page 2836)

Gil, Stephanie (Harvard University)

Full Research Paper ~ Surge Routing: Event-informed Multiagent Reinforcement Learning for Autonomous Rideshare (Page 641)

Gimenez-Abalos, Victor (Barcelona Supercomputing Center & Universitat Politecnica de Catalunya)

Doctoral Consortium ~ Toward Explainable Agent Behaviour (Page 2740)

Demonstration Track ~ pgeon applied to Overcooked-AI to explain agents' behaviour (Page 2821)

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Giray-Kuru, Nurullah (Massachusetts Institute of Technology)

Full Research Paper ~ Private Agent-Based Modeling (Page 381)

Giriyan, Dhanush R. (Arizona State University)

Full Research Paper ~ Distributed Online Rollout for Multivehicle Routing in Unmapped Environments (Page 1910)

Gladyshev, Maksim (Utrecht University)

Full Research Paper ~ Dynamic Epistemic Logic of Resource Bounded Information Mining Agents (Page 481)

Göbel, Andreas (Hasso Plattner Institute, University of Potsdam)

Full Research Paper ~ From Market Saturation to Social Reinforcement: Understanding the Impact of Non-Linearity in Information Diffusion Models (Page 614)

Godfrey, Toby (University of Southampton)

Demonstration Track ~ Conversational Language Models for Human-in-the-Loop Multi-Robot Coordination (Page 2809)

Goel, Shivam (Tufts University)

Full Research Paper ~ NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds (Page 688)

Doctoral Consortium ~ Towards building Autonomous AI Agents and Robots for Open World Environments (Page 2743)

Gokhale, Salil (Indian Institute of Technology Delhi)

Full Research Paper ~ Capacity Modification in the Stable Matching Problem (Page 697)

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Goktas, Denizalp (Brown University)

Extended Abstract ~ Banzhaf Power in Hierarchical Games (Page 2432)

Goldman, Artur (HSE University)

Full Research Paper ~ When is Mean-Field Reinforcement Learning Tractable and Relevant? (Page 2038)

Goldsmith, Tiger-Lily (Royal Holloway, University of London)

Full Research Paper ~ The Parameterized Complexity of Welfare Guarantees in Schelling Segregation (Page 425)

Gombolay, Matthew (Georgia Institute of Technology)

Full Research Paper ~ Mixed-Initiative Human-Robot Teaming under Suboptimality with Online Bayesian Adaptation (Page 1454)

Gong, Chen (University of Virginia)

Extended Abstract ~ Mutual Information as Intrinsic Reward of Reinforcement Learning Agents for On-demand Ride Pooling (Page 2597)

Gong, Zifan (City University of Hong Kong)

Extended Abstract ~ Facility Location Games with Task Allocation (Page 2285)

Gonzalez, Everardo (Oregon State University)

Extended Abstract ~ Indirect Credit Assignment in a Multiagent System (Page 2288)

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Goodall, Alexander W. (Imperial College London)

Extended Abstract ~ Leveraging Approximate Model-based Shielding for Probabilistic Safety Guarantees in Continuous Environments (Page 2291)

Gorbatovski, Alexey (ITMO University)

Extended Abstract ~ Reinforcement Learning for Question Answering in Programming Domain using Public Community Scoring as a Human Feedback (Page 2294)

Gorelkina, Olga (Mohammed VI Polytechnic University & University of Liverpool)

Extended Abstract ~ BAR Nash Equilibrium and Application to Blockchain Design (Page 2435)

Gosset, Guillaume (Université du Québec à Montréal)

Full Research Paper ~ Cooperative Electric Vehicles Planning (Page 290)

Gottipati, Sai Krishna (AI Redefined)

Extended Abstract ~ GLIDE-RL: Grounded Language Instruction through DEmonstration in RL (Page 2333)

Gourves, Laurent (Université Paris Dauphine-PSL, CNRS, LAMSADE)

Full Research Paper ~ Nash Stability in Hedonic Skill Games (Page 706)

Goyal, Richa (University of Southern California)

Extended Abstract ~ Sentimental Agents: Combining Sentiment Analysis and Non-Bayesian Updating for Cooperative Decision-Making (Page 2408)

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Graf, Moritz (University of Freiburg)

Full Research Paper ~ Symbolic Computation of Sequential Equilibria (Page 715)

Demonstration Track ~ A Symbolic Sequential Equilibria Solver for Game Theory Explorer (Page 2803)

Grams, Tim (University of Mannheim)

Full Research Paper ~ RAISE the Bar: Restriction of Action Spaces for Improved Social Welfare and Equity in Traffic Management (Page 1492)

Greco, Sergio (University of Calabria)

Extended Abstract ~ On General Epistemic Abstract Argumentation Frameworks (Page 2117)

Greenwald, Amy (Brown University)

Extended Abstract ~ Banzhaf Power in Hierarchical Games (Page 2432)

Greenyer, Joel (FHDW Hannover)

Full Research Paper ~ Multi-Robot Motion and Task Planning in Automotive Production Using Controller-based Safe Reinforcement Learning (Page 1928)

Grefenstette, Edward (University College London)

Full Research Paper ~ Scaling Opponent Shaping to High Dimensional Games (Page 1001)

Gronauer, Sven (Technical University of Munich (TUM))

Full Research Paper ~ Reinforcement Learning with Ensemble Model Predictive Safety Certification (Page 724)

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Grooten, Bram (Eindhoven University of Technology)

Full Research Paper ~ MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning (Page 733)

Doctoral Consortium ~ Large Learning Agents: Towards Continually Aligned Robots with Scale in RL (Page 2746)

Grossi, Davide (University of Groningen)

Full Research Paper ~ Toward a Quality Model for Hybrid Intelligence Teams (Page 434)

Full Research Paper ~ Emergent Cooperation under Uncertain Incentive Alignment (Page 1521)

Grötschla, Florian (ETH Zürich)

Full Research Paper ~ Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence (Page 964)

Guan, Cong (Nanjing University)

Full Research Paper ~ Cost-aware Offline Safe Meta Reinforcement Learning with Robust In-Distribution Online Task Adaptation (Page 743)

Guan, Quanlong (Jinan University)

Full Research Paper ~ Generalized Strategy Synthesis of Infinite-state Impartial Combinatorial Games via Exact Binary Classification (Page 562)

Guerra, Jonathan (Airbus Defence and Space)

Blue Sky Ideas Track ~ Going Beyond Mono-Mission Earth Observation: Using the Multi-Agent Paradigm to Federate Multiple Missions (Page 2674)

Gujar, Sujit (IIIT, Hyderabad)

Full Research Paper ~ Designing Redistribution Mechanisms for Reducing Transaction Fees in Blockchains (Page 416)

Full Research Paper ~ Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic Bandits (Page 1576)

Extended Abstract ~ Analyzing Crowdfunding of Public Projects Under Dynamic Beliefs (Page 2225)

Extended Abstract ~ No Transaction Fees? No Problem! Achieving Fairness in Transaction Fee Mechanism Design (Page 2228)

Extended Abstract ~ Fairness and Privacy Guarantees in Federated Contextual Bandits (Page 2471)

Extended Abstract ~ Fairness of Exposure in Online Restless Multi-armed Bandits (Page 2474)

Extended Abstract ~ Decent-BRM: Decentralization through Block Reward Mechanisms (Page 2483)

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Guo, Hao (Tsinghua University)

Full Research Paper ~ Cooperation and Coordination in Heterogeneous Populations with Interaction Diversity (Page 752)

Guo, Hengquan (ShanghaiTech University)

Full Research Paper ~ Learning to Schedule Online Tasks with Bandit Feedback (Page 1975)

Guo, Tiande (University of Chinese Academy of Sciences)

Full Research Paper ~ Applying Opponent Modeling for Automatic Bidding in Online Repeated Auctions (Page 843)

Guo, Yuchen (Tsinghua University)

Extended Abstract ~ JDRec: Practical Actor-Critic Framework for Online Combinatorial Recommender System (Page 2612)

Gupta, Gauri (Massachusetts Institute of Technology)

Full Research Paper ~ First 100 days of Pandemic: An Interplay of Pharmaceutical, Behavioral and Digital Interventions - A Study using Agent Based Modeling (Page 761)

Gupta, Himanshu (University of Colorado Boulder)

Doctoral Consortium ~ Efficient Continuous Space BeliefMDP Solutions for Navigation and Active Sensing (Page 2749)

Gupta, Nitish (North Carolina State University)

Full Research Paper ~ Potential-Based Reward Shaping for Intrinsic Motivation (Page 589)

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Gupta, Sunil (Applied Artificial Intelligence Institute, Deakin University)

Full Research Paper ~ Policy Learning for Off-Dynamics RL with Deficient Support (Page 1093)

Gupta, Sushmita (The Institute of Mathematical Science)

AAAI Track ~ Budget-feasible Egalitarian Allocation of Conflicting Jobs (Page 2659)

Gurjar, Rohit (IIT Bombay)

Extended Abstract ~ Fair Scheduling of Indivisible Chores (Page 2345)

Gutierrez, Julian (Monash University)

Full Research Paper ~ Rational Verification with Quantitative Probabilistic Goals (Page 871)

Gyevnar, Balint (University of Edinburgh)

Full Research Paper ~ Causal Explanations for Sequential Decision-Making in Multi-Agent Systems (Page 771)

Doctoral Consortium ~ Building Trustworthy Human-Centric Autonomous Systems Via Explanations (Page 2752)

Gyorgy, Andras (Google DeepMind)

Full Research Paper ~ Approximating the Core via Iterative Coalition Sampling (Page 669)

H.V., Vishwa Prakash (Chennai Mathematical Institute)

Full Research Paper ~ Weighted Proportional Allocations of Indivisible Goods and Chores: Insights via Matchings (Page 780)

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Haider, Tom (Fraunhofer IKS)

Full Research Paper ~ Reinforcement Learning with Ensemble Model Predictive Safety Certification (Page 724)

Hairi (University of Wisconsin-Whitewater)

Full Research Paper ~ Sample and Communication Efficient Fully Decentralized MARL Policy Evaluation via a New Approach: Local TD Update (Page 789)

Ham, Jiwon (LG AI Research)

Demonstration Track ~ Naphtha Cracking Center Scheduling Optimization using Multi-Agent Reinforcement Learning (Page 2806)

Hamadi, Youssef (Tempero)

Extended Abstract ~ Towards Socially-Acceptable Multi-Criteria Resolution of the 4D-Contracts Repair Problem (Page 2297)

Hamel, Sylvie (Université de Montréal)

Extended Abstract ~ Optimal Majority Rules and Quantitative Condorcet Properties of Setwise Kemeny Voting Schemes (Page 2420)

Han, Chaeeun (Pennsylvania State University)

Full Research Paper ~ Forecasting and Mitigating Disruptions in Public Bus Transit Services (Page 798)

Han, Congying (University of Chinese Academy of Sciences)

Full Research Paper ~ Applying Opponent Modeling for Automatic Bidding in Online Repeated Auctions (Page 843)

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Han, Lei (Tencent AI Lab)

Full Research Paper ~ Automatic Curriculum for Unsupervised Reinforcement Learning (Page 2002)

Han, Shuo (University of Illinois Chicago)

Full Research Paper ~ Covert Planning aganist Imperfect Observers (Page 1319)

Extended Abstract ~ Efficient Collaboration with Unknown Agents: Ignoring Similar Agents without Checking Similarity (Page 2363)

Hansen, Kristoffer Arnsfelt (Aarhus University)

Full Research Paper ~ On the Complexity of Pareto-Optimal and Envy-Free Lotteries (Page 244)

Hao, Dong (University of Electronic Science and Technology of China)

JAAMAS Track ~ Extended Abstract of Diffusion Auction Design with Transaction Costs (Page 2833)

Hao, Jianye (College of Intelligence and Computing, Tianjin University)

Full Research Paper ~ A Trajectory Perspective on the Role of Data Sampling Techniques in Offline Reinforcement Learning (Page 1229)

Extended Abstract ~ PADDLE: Logic Program Guided Policy Reuse in Deep Reinforcement Learning (Page 2585)

Extended Abstract ~ ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles (Page 2609)

Extended Abstract ~ vMFER: von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement of Actor-Critic Algorithms (Page 2621)

Hao, Yunlai (Jinan University)

Full Research Paper ~ Generalized Strategy Synthesis of Infinite-state Impartial Combinatorial Games via Exact Binary Classification (Page 562)

Harabor, Daniel (Monash University)

Extended Abstract ~ Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search (Page 2183)

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Hare, Matt (The James Hutton Institute)

Extended Abstract ~ Taking Agent-Based Social Simulation to the Next Level Using Exascale Computing: Potential Use-Cases, Capacity Requirements and Threats (Page 2300)

Harrison, Paula (UK Centre for Ecology & Hydrology)

Extended Abstract ~ Incentive-based MARL Approach for Commons Dilemmas in Property-based Environments (Page 2414)

Hattab, Georges (Robert Koch Institute & Freie Universität Berlin)

Full Research Paper ~ Whom to Trust? Elective Learning for Distributed Gaussian Process Regression (Page 2020)

Hattori, Masanori (Chubu Electric Power Co., Inc.)

Extended Abstract ~ Persuasion by Shaping Beliefs about Multidimensional Features of a Thing (Page 2510)

Hawes, Nick (University of Oxford)

Full Research Paper ~ Multi-Robot Allocation of Assistance from a Shared Uncertain Operator (Page 400)

Extended Abstract ~ JaxMARL: Multi-Agent RL Environments and Algorithms in JAX (Page 2444)

Hayes, Conor F. (Lawrence Livermore National Laboratory)

Blue Sky Ideas Track ~ Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning (Page 2717)

Hazon, Noam (Ariel University)

Full Research Paper ~ Coalition Formation with Bounded Coalition Size (Page 1119)

Extended Abstract ~ Source Detection in Networks using the Stationary Distribution of a Markov Chain (Page 2447)

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Hazra, Somnath (IIT Kharagpur)

Extended Abstract ~ Addressing Permutation Challenges in Multi-Agent Reinforcement Learning (Page 2303)

He, Chengyang (National University of Singapore)

Full Research Paper ~ Attention-based Priority Learning for Limited Time Multi-Agent Path Finding (Page 1993)

He, Hongjie (Southwest Jiaotong University)

Extended Abstract ~ Solving Offline 3D Bin Packing Problem with Large-sized Bin via Two-stage Deep Reinforcement Learning (Page 2576)

He, Jie (JD.com)

Extended Abstract ~ JDRec: Practical Actor-Critic Framework for Online Combinatorial Recommender System (Page 2612)

He, Niao (Department of Computer Science, ETH Zurich)

Full Research Paper ~ Provably Learning Nash Policies in Constrained Markov Potential Games (Page 31)

Full Research Paper ~ When is Mean-Field Reinforcement Learning Tractable and Relevant? (Page 2038)

He, Yifan (UNSW Sydney)

Full Research Paper ~ Solving Two-player Games with QBF Solvers in General Game Playing (Page 807)

He, Yu (City University of Hong Kong)

Full Research Paper ~ Facility Location Games with Scaling Effects (Page 816)

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He, Yunjie (Bosch Center of AI & Univ. of Stuttgart)

Full Research Paper ~ Robust Knowledge Extraction from Large Language Models using Social Choice Theory (Page 1593)

Heess, Nicolas (Google DeepMind)

Full Research Paper ~ Neural Population Learning beyond Symmetric Zero-Sum Games (Page 1247)

Heidari, Shahrokh (NAOInstitute, The University of Auckland)

Extended Abstract ~ Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks (Page 2276)

Hennes, Daniel (Google DeepMind)

Full Research Paper ~ Approximating the Core via Iterative Coalition Sampling (Page 669)

Heppenstall, Alison (University of Glasgow)

Extended Abstract ~ Taking Agent-Based Social Simulation to the Next Level Using Exascale Computing: Potential Use-Cases, Capacity Requirements and Threats (Page 2300)

Hirche, Sandra (Technical University of Munich)

Full Research Paper ~ Whom to Trust? Elective Learning for Distributed Gaussian Process Regression (Page 2020)

Hiren, Yash More (Indian Institute of Technology Gandhinagar)

AAAI Track ~ Controlling Delegations in Liquid Democracy (Page 2624)

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Hoang, Lan (IBM Research)

Full Research Paper ~ Adaptive Primal-Dual Method for Safe Reinforcement Learning (Page 326)

Holtz, Jarrett (Robert Bosch LLC & University of Texas at Austin)

Extended Abstract ~ Gaze Supervision for Mitigating Causal Confusion in Driving Agents (Page 2159)

Homan, Astrid C. (University of Amsterdam)

Blue Sky Ideas Track ~ Towards Sustainable Human-Agent Teams: A Framework for Understanding Human-Agent Team Dynamics (Page 2696)

Hong, Sohui (LG Chem)

Demonstration Track ~ Naphtha Cracking Center Scheduling Optimization using Multi-Agent Reinforcement Learning (Page 2806)

Hong, Sunghoon (LG AI Research)

Demonstration Track ~ Naphtha Cracking Center Scheduling Optimization using Multi-Agent Reinforcement Learning (Page 2806)

Hosseini, Hadi (Penn State University)

Full Research Paper ~ Tight Approximations for Graphical House Allocation (Page 825)

Extended Abstract ~ Distribution of Chores with Information Asymmetry (Page 2306)

Hou, Yaqing (Dalian University of Technology)

Full Research Paper ~ Collaborative Deep Reinforcement Learning for Solving Multi-Objective Vehicle Routing Problems (Page 1956)

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Houssineau, Jeremie (Nanyang Technological University)

Extended Abstract ~ Embracing Relational Reasoning in Multi-Agent Actor-Critic (Page 2525)

Howley, Enda (University of Galway)

Blue Sky Ideas Track ~ Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning (Page 2717)

Hsu, William (Kansas State University)

Full Research Paper ~ Policy Optimization using Horizon Regularized Advantage to Improve Generalization in Reinforcement Learning (Page 1427)

Hu, Shuyue (Shanghai Artificial Intelligence Laboratory)

Full Research Paper ~ The Stochastic Evolutionary Dynamics of Softmax Policy Gradient in Games (Page 1101)

Hu, Tianyi (Institute of Automation, CAS & School of Artificial Intelligence, UCAS)

Full Research Paper ~ Measuring Policy Distance for Multi-Agent Reinforcement Learning (Page 834)

Hu, Yudong (University of Chinese Academy of Sciences)

Full Research Paper ~ Applying Opponent Modeling for Automatic Bidding in Online Repeated Auctions (Page 843)

Hu, Yujing (NetEase Fuxi AI Lab)

Full Research Paper ~ A Trajectory Perspective on the Role of Data Sampling Techniques in Offline Reinforcement Learning (Page 1229)

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Hu, Yujing (NetEase Fuxi AI Lab)

Extended Abstract ~ vMFER: von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement of Actor-Critic Algorithms (Page 2621)

Hu, Zhipeng (Fuxi Robotics in Netease)

Extended Abstract ~ Mastering Robot Control through Point-based Reinforcement Learning with Pre-training (Page 2198)

Hua, Chuanbo (KAIST)

Extended Abstract ~ HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding (Page 2498)

Hua, Richard (J.P. Morgan Quantitative Research)

Full Research Paper ~ Atlas-X Equity Financing: Unlocking New Methods to Securely Obfuscate Axe Inventory Data Based on Differential Privacy (Page 1585)

Huang, Bo (Nanyang Technological University)

Demonstration Track ~ Engaging the Elderly in Exercise with Agents: A Gamified Stationary Bike System for Sarcopenia Management (Page 2818)

Huang, Heye (Tsinghua University)

Full Research Paper ~ Attention-based Priority Learning for Limited Time Multi-Agent Path Finding (Page 1993)

Huang, Jianwei (Chinese University of Hong Kong, Shenzhen & Shenzhen Institute of Artificial Intelligence and Robotics for Society)

Extended Abstract ~ Dual Role AoI-based Incentive Mechanism for HD map Crowdsourcing (Page 2570)

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Huang, Kaiqi (School of Artificial Intelligence, UCAS & Institute of Automation, CAS)

Full Research Paper ~ Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models (Page 1274)

Huang, Tsung-Wei (University of Wisconsin-Madison)

Extended Abstract ~ Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search (Page 2183)

Huang, Xiao (The Hong Kong Polytechnic University)

Extended Abstract ~ Reinforcement Nash Equilibrium Solver (Page 2552)

Huang, Zheng (ShangHai Jiao Tong University)

Extended Abstract ~ Fuzzy Clustered Federated Learning Under Mixed Data Distributions (Page 2501)

Huang, Ziyun (Department of Computer Science and Software Engineering, Penn State Erie, The Behrend College)

Full Research Paper ~ New Algorithms for Distributed Fair k-Center Clustering: Almost Accurate as Sequential Algorithms (Page 1938)

Hübner, Jomi F. (Universidade Federal de Santa Catarina)

JAAMAS Track ~ Generating and Choosing Organizations for Multi-Agent Systems (Page 2824)

Full Research Paper ~ Enabling BDI Agents to Reason on a Dynamic Action Repertoire in Hypermedia Environments (Page 1856)

Hughes, Edward (Google)

Extended Abstract ~ Towards Zero Shot Learning in Restless Multi-armed Bandits (Page 2618)

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Hummel, Halvard (Norwegian University of Science and Technology)

Full Research Paper ~ Keeping the Harmony Between Neighbors: Local Fairness in Graph Fair Division (Page 852)

Hunt, William (University of Southampton)

Demonstration Track ~ Conversational Language Models for Human-in-the-Loop Multi-Robot Coordination (Page 2809)

Huo, Jing (State Key Laboratory for Novel Software Technology, Nanjing University)

Extended Abstract ~ Cognizing and Imitating Robotic Skills via a Dual Cognition-Action Architecture (Page 2204)

Hussain, Aamal (Imperial College London)

Full Research Paper ~ On the Stability of Learning in Network Games with Many Players (Page 861)

Hyland, David (University of Oxford)

Full Research Paper ~ Rational Verification with Quantitative Probabilistic Goals (Page 871)

Ianovski, Egor (Unaffiliated)

Full Research Paper ~ Veto Core Consistent Preference Aggregation (Page 1020)

Ichida, Alexandre Yukio (Pontifical Catholic University of Rio)

Full Research Paper ~ BDI Agents in Natural Language Environments (Page 880)

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Igarashi, Ayumi (University of Tokyo)

Full Research Paper ~ Keeping the Harmony Between Neighbors: Local Fairness in Graph Fair Division (Page 852)

Ihejimba, Chikadibia (The University of Texas at Dallas)

Full Research Paper ~ A Cloud-Based Microservices Solution for Multi-Agent Traffic Control Systems (Page 889)

Ikeuchi, Hiroki (NTT Corporation)

Extended Abstract ~ Electric Vehicle Routing for Emergency Power Supply with Deep Reinforcement Learning (Page 2336)

Ilin, Alexander (Aalto University, System 2 AI)

Full Research Paper ~ Continuous Monte Carlo Graph Search (Page 1047)

Inamdar, Tanmay (Indian Institute of Technology Jodhpur)

AAAI Track ~ Controlling Delegations in Liquid Democracy (Page 2624)

Ingvarsson, Garðar (University College London)

Extended Abstract ~ JaxMARL: Multi-Agent RL Environments and Algorithms in JAX (Page 2444)

Irfan, Mohammad T. (Department of Computer Science, Bowdoin College)

Full Research Paper ~ Beliefs, Shocks, and the Emergence of Roles in Asset Markets: An Agent-Based Modeling Approach (Page 40)

Extended Abstract ~ Computing Nash Equilibria in Multidimensional Congestion Games (Page 2309)

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Islam, Kazi Ashik (Biocomplexity Institute, University of Virginia)

Extended Abstract ~ Strategic Routing and Scheduling for Evacuations (Page 2312)

Iwase, Tatsuya (Toyota Motor Europe NV/SA)

Full Research Paper ~ Is Limited Information Enough? An Approximate Multi-agent Coverage Control in Non-Convex Discrete Environments (Page 898)

Jabbour, Said (CRIL, CNRS UMR 8188, Université d'Artois)

Full Research Paper ~ Towards a Principle-based Framework for Repair Selection in Inconsistent Knowledge Bases (Page 907)

Jacobs, Nathan (Washington University in St. Louis)

Extended Abstract ~ Geospatial Active Search for Preventing Evictions (Page 2456)

Jahan, Nusrath (University of Central Florida)

Full Research Paper ~ Unraveling the Tapestry of Deception and Personality: A Deep Dive into Multi-Issue Human-Agent Negotiation Dynamics (Page 916)

Jain, Pallavi (Indian Institute of Technology Jodhpur)

AAAI Track ~ Controlling Delegations in Liquid Democracy (Page 2624)

AAAI Track ~ Budget-feasible Egalitarian Allocation of Conflicting Jobs (Page 2659)

Jain, Shweta (Indian Institute of Technology Ropar)

Full Research Paper ~ Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic Bandits (Page 1576)

Extended Abstract ~ Fairness and Privacy Guarantees in Federated Contextual Bandits (Page 2471)

Extended Abstract ~ Fairness of Exposure in Online Restless Multi-armed Bandits (Page 2474)

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Jamroga, Wojciech (SnT, University of Luxembourg & ICS, Polish Academy of Sciences)

Full Research Paper ~ Playing Quantitative Games Against an Authority: On the Module Checking Problem (Page 926)

Demonstration Track ~ STV+KH: Towards Practical Verification of Strategic Ability for Knowledge and Information Flow (Page 2812)

Jamroga, Wojtek (SnT, University of Luxembourg & ICS, Polish Academy of Sciences)

Full Research Paper ~ Verification of Stochastic Multi-Agent Systems with Forgetful Strategies (Page 160)

Janeczko, Łukasz (AGH University)

Full Research Paper ~ Discovering Consistent Subelections (Page 935)

Extended Abstract ~ Strategic Cost Selection in Participatory Budgeting (Page 2255)

Jang, Hangyoul (LG Chem)

Demonstration Track ~ Naphtha Cracking Center Scheduling Optimization using Multi-Agent Reinforcement Learning (Page 2806)

Janik, Tadeusz (ETH Zurich)

Full Research Paper ~ Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning (Page 973)

Jeon, Somin (LG Chem)

Demonstration Track ~ Naphtha Cracking Center Scheduling Optimization using Multi-Agent Reinforcement Learning (Page 2806)

Jhala, Arnav (North Carolina State University)

Full Research Paper ~ Potential-Based Reward Shaping for Intrinsic Motivation (Page 589)

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Ji, Ze (Cardiff University)

Extended Abstract ~ Cognizing and Imitating Robotic Skills via a Dual Cognition-Action Architecture (Page 2204)

Jia, Chengxing (National Key Laboratory for Novel Software Technology, School of Artificial Intelligence, Nanjing University & Polixir Technologies)

Full Research Paper ~ Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation (Page 944)

Jiang, Haoyuan (SenseTime Research & Baidu Inc.)

Full Research Paper ~ DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared Knowledge (Page 1283)

Jiang, He (Digital Brain Lab)

Full Research Paper ~ Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: The Past, Present, and Future (Page 1772)

Jiang, Jiechuan (Peking University)

Full Research Paper ~ Multi-Agent Alternate Q-Learning (Page 1791)

Jiang, Junqi (Imperial College London)

Full Research Paper ~ Recourse under Model Multiplicity via Argumentative Ensembling (Page 954)

Jiang, Minqi (UCL & Meta AI)

Full Research Paper ~ Multi-Agent Diagnostics for Robustness via Illuminated Diversity (Page 1630)

Extended Abstract ~ JaxMARL: Multi-Agent RL Environments and Algorithms in JAX (Page 2444)

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Jiang, Shengyi (The University of Hong Kong)

Full Research Paper ~ Foresight Distribution Adjustment for Off-policy Reinforcement Learning (Page 317)

Jiang, Weibo (Tsinghua Shenzhen International Graduate School, Tsinghua University)

Extended Abstract ~ Dual-Policy-Guided Offline Reinforcement Learning with Optimal Stopping (Page 2315)

Jiang, Zhizhuo (Tsinghua Shenzhen International Graduate School, Tsinghua University)

Extended Abstract ~ Dual-Policy-Guided Offline Reinforcement Learning with Optimal Stopping (Page 2315)

Jin, Haiming (Shanghai Jiao Tong University)

Full Research Paper ~ Risk-Aware Constrained Reinforcement Learning with Non-Stationary Policies (Page 2029)

Jin, Kai (Shenzhen Campus of Sun Yat-sen University)

Extended Abstract ~ Simple k-crashing Plan with a Good Approximation Ratio (Page 2366)

Johnson, Matthew (Durham University)

Extended Abstract ~ Computing Balanced Solutions for Large International Kidney Exchange Schemes when Cycle Length is Unbounded (Page 2153)

Johnson, Scott (Deakin University)

Blue Sky Ideas Track ~ Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning (Page 2717)

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Jones, Matt W. (University of Bristol)

Full Research Paper ~ BrainSLAM: SLAM on Neural Population Activity Data (Page 607)

Jonker, Catholijn M. (Delft University of Technology)

Full Research Paper ~ Toward a Quality Model for Hybrid Intelligence Teams (Page 434)

Extended Abstract ~ A Reinforcement Learning Framework for Studying Group and Individual Fairness (Page 2216)

Jordan, Philip (ETH Zürich)

Full Research Paper ~ Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence (Page 964)

Jun, Jae-Yun (ECE Paris)

Extended Abstract ~ Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning (Page 2522)

Jung, Suhyun (LG AI Research)

Demonstration Track ~ Naphtha Cracking Center Scheduling Optimization using Multi-Agent Reinforcement Learning (Page 2806)

Jung, Whiyoung (LG AI Research)

Demonstration Track ~ Naphtha Cracking Center Scheduling Optimization using Multi-Agent Reinforcement Learning (Page 2806)

Jung, Yeontae (LG AI Research)

Demonstration Track ~ Naphtha Cracking Center Scheduling Optimization using Multi-Agent Reinforcement Learning (Page 2806)

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Jusup, Matej (ETH Zurich)

Full Research Paper ~ Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning (Page 973)

Kachman, Tal (Radboud University)

Extended Abstract ~ Pruning Neural Networks Using Cooperative Game Theory (Page 2243)

Kacprzak, Magdalena (Bialystok University of Technology)

Demonstration Track ~ SMT4SMTL: A Tool for SMT-Based Satisfiability Checking of SMTL (Page 2815)

Kaczmarczyk, Andrzej (AGH University)

Extended Abstract ~ Strategic Cost Selection in Participatory Budgeting (Page 2255)

Kaczmarek, Joanna (Heinrich-Heine-Universität Düsseldorf)

Extended Abstract ~ NP^PP-Completeness of Control by Adding Players to Change the Penrose-Banzhaf Power Index in Weighted Voting Games (Page 2318)

Kafali, Ozgur (University of Kent)

JAAMAS Track ~ Toward a Normative Approach for Resilient Multiagent Systems: A Summary (Page 2836)

Kaisers, Michael (Google DeepMind)

Full Research Paper ~ Approximating the Core via Iterative Coalition Sampling (Page 669)

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Källström, Johan (Linköping University)

Blue Sky Ideas Track ~ Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning (Page 2717)

Kamalaruban, Parameswaran (The Alan Turing Institute)

Full Research Paper ~ Informativeness of Reward Functions in Reinforcement Learning (Page 444)

Kamiński, Mateusz (Institute of Computer Science, Polish Academy of Sciences & Faculty of Mathematics and Computer Science, Nicolaus Copernicus University in Toruń)

Demonstration Track ~ STV+KH: Towards Practical Verification of Strategic Ability for Knowledge and Information Flow (Page 2812)

Kanezaki, Asako (Tokyo Institute of Technology)

Full Research Paper ~ Linking Vision and Multi-Agent Communication through Visible Light Communication using Event Cameras (Page 1436)

Kang, Changhoon (LG Chem)

Demonstration Track ~ Naphtha Cracking Center Scheduling Optimization using Multi-Agent Reinforcement Learning (Page 2806)

Kang, Qitong (Nankai University)

Extended Abstract ~ TIMAT: Temporal Information Multi-Agent Transformer (Page 2321)

Kannala, Juho (Aalto University)

Full Research Paper ~ Continuous Monte Carlo Graph Search (Page 1047)

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Kapila, Ritvik (University of California San Diego)

Full Research Paper ~ First 100 days of Pandemic: An Interplay of Pharmaceutical, Behavioral and Digital Interventions - A Study using Agent Based Modeling (Page 761)

Kapron, Bruce M. (University of Victoria)

Extended Abstract ~ On the Computational Complexity of Quasi-Variational Inequalities and Multi-Leader-Follower Games (Page 2324)

Kar, Debajyoti (Indian Institute of Science)

Full Research Paper ~ Parameterized Guarantees for Almost Envy-Free Allocations (Page 151)

Kar, Koushik (Rensselaer Polytechnic Institute)

Full Research Paper ~ Adaptive Primal-Dual Method for Safe Reinforcement Learning (Page 326)

Karge, Jonas (TU Dresden)

Full Research Paper ~ To Lead or to be Led: A Generalized Condorcet Jury Theorem under Dependence (Page 983)

Kaski, Samuel (Aalto University & The University of Manchester)

Full Research Paper ~ Uncoupled Learning of Differential Stackelberg Equilibria with Commitments (Page 1265)

Kavner, Joshua (Rensselaer Polytechnic Institute)

Extended Abstract ~ Distribution of Chores with Information Asymmetry (Page 2306)

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Kawase, Yasushi (The University of Tokyo)

Extended Abstract ~ Contiguous Allocation of Binary Valued Indivisible Items on a Path (Page 2327)

Kazemipour, Alireza (University of Alberta)

Full Research Paper ~ Monitored Markov Decision Processes (Page 1549)

Kaźmierowski, Stanisław (University of Warsaw)

Full Research Paper ~ Efficient Method for Finding Optimal Strategies in Chopstick Auctions with Uniform Objects Values (Page 992)

Ke, Yiduo (Northwestern University)

Extended Abstract ~ Fair Allocation of Conflicting Courses under Additive Utilities (Page 2162)

Ke, Yuxin (Tsinghua Shenzhen International Graduate School, Tsinghua University)

Extended Abstract ~ Dual-Policy-Guided Offline Reinforcement Learning with Optimal Stopping (Page 2315)

Kebriaei, Hamed (School of ECE, University of Tehran)

Extended Abstract ~ Risk-Sensitive Multi-Agent Reinforcement Learning in Network Aggregative Markov Games (Page 2282)

Kemp, Charles (The University of Melbourne)

Full Research Paper ~ Human Goal Recognition as Bayesian Inference: Investigating the Impact of Actions, Timing, and Goal Solvability (Page 2066)

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Kempinski, Benjamin (Radboud University)

Extended Abstract ~ Pruning Neural Networks Using Cooperative Game Theory (Page 2243)

Khadilkar, Harshad (TCS Research & IIT Bombay)

Extended Abstract ~ DCT: Dual Channel Training of Action Embeddings for Reinforcement Learning with Large Discrete Action Spaces (Page 2411)

Khan, Akbir (University College London)

Full Research Paper ~ Scaling Opponent Shaping to High Dimensional Games (Page 1001)

Extended Abstract ~ JaxMARL: Multi-Agent RL Environments and Algorithms in JAX (Page 2444)

Khan, Saad (Indian Institute of Technology, Bombay)

Extended Abstract ~ Decentralized Safe Control for Multi-Robot Navigation in Dynamic Environments with Limited Sensing (Page 2330)

Kharlamov, Evgeny (Bosch Center of AI & Univ. of Oslo)

Full Research Paper ~ Robust Knowledge Extraction from Large Language Models using Social Choice Theory (Page 1593)

Kharyal, Chaitanya (Microsoft)

Extended Abstract ~ GLIDE-RL: Grounded Language Instruction through DEmonstration in RL (Page 2333)

Khuller, Samir (Northwestern University)

Extended Abstract ~ Fair Allocation of Conflicting Courses under Additive Utilities (Page 2162)

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Kikuta, Daisuke (NTT Corporation)

Extended Abstract ~ Electric Vehicle Routing for Emergency Power Supply with Deep Reinforcement Learning (Page 2336)

Kilic, Oz (Carleton University)

Full Research Paper ~ Catfished! Impacts of Strategic Misrepresentation in Online Dating (Page 1011)

Kim, Jungki (LG Chem)

Demonstration Track ~ Naphtha Cracking Center Scheduling Optimization using Multi-Agent Reinforcement Learning (Page 2806)

Kimura, Kei (Kyushu University)

Full Research Paper ~ Fairness and Efficiency Trade-off in Two-sided Matching (Page 372)

Kintz, Jacob R. (University of Colorado Boulder)

Extended Abstract ~ Psychophysiological Models of Cognitive States Can Be Operator-Agnostic (Page 2438)

Kitani, Kris (Carnegie Mellon University & Meta)

Full Research Paper ~ Bootstrapping Linear Models for Fast Online Adaptation in Human-Agent Collaboration (Page 1463)

Kleinberg, Jon (Cornell University)

Full Research Paper ~ Containing the Spread of a Contagion on a Tree (Page 1381)

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Klodt, Nicolas (Hasso Plattner Institute, University of Potsdam)

Full Research Paper ~ From Market Saturation to Social Reinforcement: Understanding the Impact of Non-Linearity in Information Diffusion Models (Page 614)

Knowles, Kobe (NAOInstitute, The University of Auckland)

Extended Abstract ~ Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks (Page 2276)

Koenig, Sven (University of Southern California)

Full Research Paper ~ Confidence-Based Curriculum Learning for Multi-Agent Path Finding (Page 1558)

Extended Abstract ~ Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search (Page 2183)

Kölle, Michael (LMU Munich)

Extended Abstract ~ Quantum Circuit Design: A Reinforcement Learning Challenge (Page 2123)

Kondratev, Aleksei Y. (HSE University)

Full Research Paper ~ Veto Core Consistent Preference Aggregation (Page 1020)

Koohy, Behrad (University of Southampton)

Blue Sky Ideas Track ~ Adaptive Incentive Engineering in Citizen-Centric AI (Page 2684)

Köppe, Matthias (University of California)

Full Research Paper ~ Fine-Grained Liquid Democracy for Cumulative Ballots (Page 1029)

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Koutecký, Martin (Charles University)

Full Research Paper ~ Fine-Grained Liquid Democracy for Cumulative Ballots (Page 1029)

Kovalchuk, Sergey (Huawei)

Extended Abstract ~ Reinforcement Learning for Question Answering in Programming Domain using Public Community Scoring as a Human Feedback (Page 2294)

Koyfman, Daniel (Ben-Gurion University)

Full Research Paper ~ Minimizing State Exploration While Searching Graphs with Unknown Obstacles (Page 1038)

Kraus, Sarit (Bar Ilan University)

Full Research Paper ~ Value-based Resource Matching with Fairness Criteria: Application to Agricultural Water Trading (Page 13)

Krause, Andreas (Department of Computer Science, ETH Zurich)

Full Research Paper ~ Provably Learning Nash Policies in Constrained Markov Potential Games (Page 31)

Full Research Paper ~ Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning (Page 973)

Krejca, Martin S. (Laboratoire d'Informatique (LIX), CNRS, École Polytechnique, Institut Polytechnique de Paris)

Full Research Paper ~ From Market Saturation to Social Reinforcement: Understanding the Impact of Non-Linearity in Information Diffusion Models (Page 614)

Kress-Gazit, Hadas (Cornell University)

Full Research Paper ~ High-Level, Collaborative Task Planning Grammar and Execution for Heterogeneous Agents (Page 544)

Krishnamurthy, Balaji (Adobe)

Full Research Paper ~ flame: A Framework for Learning in Agent-based ModEls (Page 391)

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Kroupa, Tomáš (Artificial Intelligence Center, Department of Computer Science, Faculty of Electrical Engineering, Czech Technical University in Prague)

Full Research Paper ~ Trust in Shapley: A Cooperative Quest for Global Trust in P2P Network (Page 132)

Krysta, Piotr (Augusta University)

Extended Abstract ~ Who gets the Maximal Extractable Value? A Dynamic Sharing Blockchain Mechanism (Page 2171)

Kubícek, Ondřej (AI Center, FEE, CTU in Prague)

Extended Abstract ~ Continual Depth-limited Responses for Computing Counter-strategies in Sequential Games (Page 2393)

Kucharski, Rafał (Faculty of Mathematics and Computer Science, Jagiellonian University)

Full Research Paper ~ Modelling the Rise and Fall of Two-sided Markets (Page 679)

Kudenko, Daniel (Leibniz University Hannover)

Full Research Paper ~ Multi-Robot Motion and Task Planning in Automotive Production Using Controller-based Safe Reinforcement Learning (Page 1928)

Kuijer, Louwe B. (University of Liverpool)

Extended Abstract ~ Synthesizing Social Laws with ATL Conditions (Page 2270)

Kujanpää, Kalle (Aalto University)

Full Research Paper ~ Continuous Monte Carlo Graph Search (Page 1047)

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Kulkarni, Pooja (University of Illinois at Urbana-Champaign)

Full Research Paper ~ Approximating APS Under Submodular and XOS Valuations with Binary Marginals (Page 1057)

Kulkarni, Rucha (University of Illinois at Urbana-Champaign)

Full Research Paper ~ Approximating APS Under Submodular and XOS Valuations with Binary Marginals (Page 1057)

Kumar, Akshat (Singapore Management University)

Extended Abstract ~ Factored MDP based Moving Target Defense with Dynamic Threat Modeling (Page 2165)

Extended Abstract ~ Difference of Convex Functions Programming for Policy Optimization in Reinforcement Learning (Page 2339)

Kumar, Pankaj (Jheronimus Academy of Data Science)

Extended Abstract ~ Deep Hawkes Process for High-Frequency Market Making (Page 2342)

Kumar, Rohit (Robotics Research Lab, RPTU)

Extended Abstract ~ Evaluation of Robustness of Off-Road Autonomous Driving Segmentation against Adversarial Attacks: A Dataset-Centric Study (Page 2237)

Kumar, Yatharth (IIT Delhi)

Extended Abstract ~ Fair Scheduling of Indivisible Chores (Page 2345)

Kurpiewski, Damian (Institute of Computer Science, Polish Academy of Sciences & Faculty of Mathematics and Computer Science, Nicolaus Copernicus University in Toruń)

Demonstration Track ~ STV+KH: Towards Practical Verification of Strategic Ability for Knowledge and Information Flow (Page 2812)

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Kuru, Emre (Özyeğin University)

Extended Abstract ~ User-centric Explanation Strategies for Interactive Recommenders (Page 2174)

Kuusela, Otto (University of Amsterdam)

Full Research Paper ~ Higher Order Reasoning under Intent Uncertainty Reinforces the Hobbesian Trap (Page 1066)

Kuznetsov, Igor (Independent Researcher)

Extended Abstract ~ Guided Exploration in Reinforcement Learning via Monte Carlo Critic Optimization (Page 2348)

Kwak, Changhyun (LG Chem)

Demonstration Track ~ Naphtha Cracking Center Scheduling Optimization using Multi-Agent Reinforcement Learning (Page 2806)

Kwan, Newton (University College London)

Full Research Paper ~ Scaling Opponent Shaping to High Dimensional Games (Page 1001)