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Table of Contents

Author Index

Author Index


Gabor, Thomas (LMU Munich)

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


Gajcin, Jasmina (Trinity College Dublin)

Doctoral Consortium ~ Counterfactual Explanations for Reinforcement Learning Agents (Page 2925)


Galimullin, Rustam (University of Bergen)

Main Track Full Paper ~ (Arbitrary) Partial Communication (Page 400)


Gallici, Matteo (Universitat Politècnica de Catalunya)

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


Gambhir, Sankalp (EPFL Switzerland)

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


Gan, Jiarui (University of Oxford)

Main Track Full Paper ~ Approximation Algorithm for Computing Budget-Feasible EF1 Allocations (Page 170)

Main Track Full Paper ~ k-Prize Weighted Voting Game (Page 2049)


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

Main Track Full Paper ~ Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning (Page 1144)


 

Ganesh, Sumitra (J.P. Morgan AI Research)

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


Gangopadhyay, Briti (IIT Kharagpur)

Main Track Full Paper ~ Counterexample-Guided Policy Refinement in Multi-Agent Reinforcement Learning (Page 1606)


Ganguly, Aditya (UNSW Sydney)

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


Gao, Feng (Tsinghua University & Shanghai Qi Zhi Institute)

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


Gao, Ge (North Carolina State University)

Main Track Full Paper ~ HOPE: Human-Centric Off-Policy Evaluation for E-Learning and Healthcare (Page 1504)


Gao, Huifan (Xiamen University)

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


Gao, Jianqi (Harbin Institute of Technology (Shenzhen))

Extended Abstract ~ Multi-Agent Path Finding with Time Windows: Preliminary Results (Page 2586)


Gao, Jiaxuan (Tsinghua University)

Main Track Full Paper ~ Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration (Page 1108)


 

Gao, Mingchen (University at Buffalo)

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


Gao, Shang (East China Normal University)

Extended Abstract ~ Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas (Page 2784)


Gao, Yang (Nanjing University)

Extended Abstract ~ TiLD: Third-person Imitation Learning by Estimating Domain Cognitive Differences of Visual Demonstrations (Page 2421)


Garg, Deepeka (J.P. Morgan AI Research)

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


Garg, Jugal (University of Illinois at Urbana-Champaign)

Extended Abstract ~ A Nash-Bargaining-Based Mechanism for One-Sided Matching Markets and Dichotomous Utilities (Page 2721)


Garg, Mayank (Arizona State University)

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


Gast, Nicolas (University Grenoble Alpes, Inria, CNRS, Grenoble INP, LIG)

Main Track Full Paper ~ Decentralized Model-Free Reinforcement Learning in Stochastic Games with Average-Reward Objective (Page 1230)


Gatchel, Madelyn (University of Michigan)

Main Track Full Paper ~ Learning Parameterized Families of Games (Page 1044)


 

Gaujal, Bruno (University Grenoble Alpes, Inria, CNRS, Grenoble INP, LIG)

Main Track Full Paper ~ Decentralized Model-Free Reinforcement Learning in Stochastic Games with Average-Reward Objective (Page 1230)


Gautier, Anna (University of Oxford)

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


Ge, Hongwei (Dalian University of Technology)

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


Geft, Tzvika (Tel Aviv University)

Main Track Full Paper ~ Coordination of Multiple Robots along Given Paths with Bounded Junction Complexity (Page 932)


Geiger, Bernhard C. (Know-Center GmbH)

Main Track Full Paper ~ Markov Aggregation for Speeding Up Agent-Based Movement Simulations (Page 1877)


Gemp, Ian (DeepMind)

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


Geng, Minghong (Singapore Management University)

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


Gentil, Christian (Université de Bourgogne-Franche-Comté)

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


 

Gerding, Enrico H. (University of Southampton)

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

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


Gerritsen, Charlotte (Vrije Universiteit Amsterdam)

JAAMAS Track ~ Emotion Contagion in Agent-based Simulations of Crowds: A Systematic Review (Page 1912)

Main Track Full Paper ~ Simulating Panic Amplification in Crowds via Density-Emotion Interaction (Page 1895)


Gerstgrasser, Matthias (Harvard University)

Extended Abstract ~ Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning (Page 2433)


Ghalme, Ganesh (Indian Institute of Technology Hyderabad)

Extended Abstract ~ Group Fair Clustering Revisited -- Notions and Efficient Algorithm (Page 2854)


Ghassemi, Mohammad M. (Michigan State University)

Main Track Full Paper ~ Do Explanations Improve the Quality of AI-assisted Human Decisions? An Algorithm-in-the-Loop Analysis of Factual & Counterfactual Explanations (Page 326)


Ghebreab, Sennay (University of Amsterdam)

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


 

Ghosh, Abheek (University of Oxford)

Doctoral Consortium ~ Contests and Other Topics in Multi-Agent Systems (Page 3014)

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


Ghosh, Susobhan (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)


Gilbert, Hugo (Université Paris-Dauphine & Université PSL, CNRS, LAMSADE)

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

Extended Abstract ~ Measuring a Priori Voting Power - Taking Delegations Seriously (Page 2658)


Giles, C. Lee (The Pennsylvania State University)

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


Gini, Maria (University of Minnesota)

Extended Abstract ~ Provably Manipulable 3D Structures using Graph Theory (Page 2550)


Gitiaux, Xavier (George Mason University)

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


 

Godziszewski, Michał Tomasz (University of Warsaw & IDEAS NCBR)

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


Goel, Harsh (University of Pennsylvania)

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


Golab, Lukasz (University of Waterloo)

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


Golab, Wojciech (University of Waterloo)

Main Track Full Paper ~ IRS: An Incentive-compatible Reward Scheme for Algorand (Page 661)


Goldman, Claudia V. (General Motors)

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


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

Extended Abstract ~ The Parameterized Complexity of Welfare Guarantees in Schelling Segregation (Page 2860)

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


Gomes, Carla P. (Cornell University)

Main Track Full Paper ~ Provable Optimization of Quantal Response Leader-Follower Games with Exponentially Large Action Spaces (Page 756)


 

Gong, Chen (Institute of Automation, Chinese Academy of Sciences)

Extended Abstract ~ Centralized Cooperative Exploration Policy for Continuous Control Tasks (Page 2454)


Gong, Xueping (HKUST)

Extended Abstract ~ Achieving Near-optimal Regrets in Confounded Contextual Bandits (Page 2643)


Goodrich, Michael A. (Brigham Young University)

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


Gopalakrishnan, Sriram (Arizona State University)

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


Gottipati, Sai Krishna (AI Redefined)

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


Gottipati, Sai Krishna (AI Redefined)

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


Gourvès, Laurent (Université Paris Dauphine-PSL, CNRS)

JAAMAS Track ~ On the Distortion of Single Winner Elections with Aligned Candidates (Page 1409)


 

Greco, Sergio (University of Calabria)

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


Greenwald, Amy (Brown University)

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


Griffin, Christopher (The Pennsylvania State University)

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


Griffin, Jacqueline (Northeastern University)

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


Griffiths, Nathan (University of Warwick)

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


Groen, Derek (Brunel University London)

Main Track Full Paper ~ Markov Aggregation for Speeding Up Agent-Based Movement Simulations (Page 1877)


Groenland, Carla (Universiteit Utrecht)

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


Grooten, Bram (Eindhoven University of Technology)

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


 

Gu, Sizhe (ShanghaiTech University)

Main Track Full Paper ~ A Redistribution Framework for Diffusion Auctions (Page 1370)

Main Track Full Paper ~ Cost Sharing under Private Valuation and Connection Control (Page 2161)


Gui, Yikang (University of Georgia)

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


Gujar, Sujit (International Institute of Information Technology, Hyderabad)

Extended Abstract ~ A Novel Demand Response Model and Method for Peak Reduction in Smart Grids - PowerTAC (Page 2520)


Gunawardana, Kasun (University of Colombo School of Computing)

Extended Abstract ~ Context-aware Agents based on Psychological Archetypes for Teamwork (Page 2313)


Günnemann, Stephan (Technical University of Munich)

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


Günther, Johannes (University of Alberta & Amii)

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


Guo, Bin (Northwestern Polytechnical University)

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


 

Guo, Chi (Wuhan University & Hubei Luojia Laboratory)

Extended Abstract ~ RTransNav:Relation-wise Transformer Network for More Successful Object Goal Navigation (Page 2559)


Guo, Jiaxian (The University of Sydney)

Main Track Full Paper ~ PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination (Page 679)


Guo, Jiong (Shandong University)

Main Track Full Paper ~ Stable Marriage in Euclidean Space (Page 994)


Guo, Mingyu (The University of Adelaide)

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


Guo, Wenfei (Wuhan University)

Extended Abstract ~ RTransNav:Relation-wise Transformer Network for More Successful Object Goal Navigation (Page 2559)


Guo, Zhaori (University of Southampton)

Doctoral Consortium ~ Multi-Advisor Dynamic Decision Making (Page 2949)

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


Gupta, Ashutosh (IIT Bombay)

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


 

Gupta, Shivam (Indian Institute of Technology Ropar)

Extended Abstract ~ Group Fair Clustering Revisited -- Notions and Efficient Algorithm (Page 2854)


Guresti, Bengisu (Istanbul Technical University)

Main Track Full Paper ~ IQ-Flow: Mechanism Design for Inducing Cooperative Behavior to Self-Interested Agents in Sequential Social Dilemmas (Page 2143)


Gurney, Nikolos (University of Southern California)

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


Gutierrez, Julian (Monash University)

Main Track Full Paper ~ k-Prize Weighted Voting Game (Page 2049)


Hadfield-Menell, Dylan (Massachusetts Institute of Technology)

Main Track Full Paper ~ Get It in Writing: Formal Contracts Mitigate Social Dilemmas in Multi-Agent RL (Page 448)


Hahn, Meera (Google)

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


Haider, Tom (Fraunhofer IKS)

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


Hajiaghayi, MohammadTaghi (University of Maryland)

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


 

Halperin, Dan (Tel Aviv University)

Main Track Full Paper ~ Coordination of Multiple Robots along Given Paths with Bounded Junction Complexity (Page 932)


Halpern, Joseph Y. (Cornell University)

Extended Abstract ~ Strategic Play By Resource-Bounded Agents in Security Games (Page 2478)


Han, Bing (Rice University)

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


Han, Kunpeng (Cainiao Network)

Main Track Full Paper ~ A Deep Reinforcement Learning Approach for Online Parcel Assignment (Page 1961)


Han, Lei (Tencent Robotics X Lab)

Main Track Full Paper ~ CraftEnv: A Flexible Collective Robotic Construction Environment for Multi-Agent Reinforcement Learning (Page 1164)


Han, Qi (Colorado School of Mines)

Main Track Full Paper ~ Energy-aware UAV Path Planning with Adaptive Speed (Page 923)


Han, Qishen (Rensselaer Polytechnic Institute)

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

Extended Abstract ~ Learning to Explain Voting Rules (Page 2883)


 

Han, Shuai (Utrecht University)

Main Track Full Paper ~ Model-based Sparse Communication in Multi-agent Reinforcement Learning (Page 439)


Han, Shuo (University of Illinois Chicago)

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

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


Han, The Anh (Teesside Univeresity)

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


Hao, Jianye (Tianjin University)

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

Extended Abstract ~ PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning (Page 2460)

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


Hao, Xiaotian (Tianjin University)

Extended Abstract ~ PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning (Page 2460)


Harasha, Noble (Massachusetts Institute of Technology)

Main Track Full Paper ~ A Comparison of New Swarm Task Allocation Algorithms in Unknown Environments with Varying Task Density (Page 525)


 

Haret, Adrian (University of Amsterdam)

Extended Abstract ~ Deliberation as Evidence Disclosure: A Tale of Two Protocol Types (Page 2866)


Hargood, Charlie (Bournemouth University)

Main Track Full Paper ~ Generating Stylistic and Personalized Dialogues for Virtual Agents in Narratives (Page 737)


Harrenstein, Paul (University of Oxford)

Main Track Full Paper ~ k-Prize Weighted Voting Game (Page 2049)


Harrison, Matthew T. (University of Tasmania)

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


Hartline, Jason (Northwestern University)

Main Track Full Paper ~ Non-strategic Econometrics (for Initial Play) (Page 634)


Harwell, John (University of Minnesota)

Extended Abstract ~ Provably Manipulable 3D Structures using Graph Theory (Page 2550)


Hasan, Aamir (University of Illinois)

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


Hashimoto, Koichi (Tohoku University)

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


 

Hastie, Helen (Heriot-Watt University)

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


Haupt, Andreas A. (Massachusetts Institute of Technology)

Main Track Full Paper ~ Get It in Writing: Formal Contracts Mitigate Social Dilemmas in Multi-Agent RL (Page 448)


Hausknecht, Matthew (Microsoft Research)

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


Hawes, Nick (University of Oxford)

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


Hawkin, Alina (University of Bremen)

Extended Abstract ~ Shopping Assistance for Everyone: Dynamic Query Generation On a Semantic Digital Twin As a Basis for Autonomous Shopping Assistance (Page 2523)


Hayes, Bradley (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)


Hayes, Conor F. (University of Galway)

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

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


Hazon, Noam (Ariel University)

Extended Abstract ~ Social Aware Coalition Formation with Bounded Coalition Size (Page 2667)

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


 

He, Jinke (Delft University of Technology)

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


He, Jinmin (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences)

Main Track Full Paper ~ Sequential Cooperative Multi-Agent Reinforcement Learning (Page 485)


He, Junying (Cainiao Network)

Main Track Full Paper ~ A Deep Reinforcement Learning Approach for Online Parcel Assignment (Page 1961)


He, Qiang (University of Tubingen)

Extended Abstract ~ Centralized Cooperative Exploration Policy for Continuous Control Tasks (Page 2454)


Hebert, Liam (University of Waterloo)

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


Heeger, Klaus (Technische Universität Berlin)

Main Track Full Paper ~ Adapting Stable Matchings to Forced and Forbidden Pairs (Page 985)

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


 

Hegde, Aparna (ARMMAN)

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


Heintz, Fredrik (Linköping University)

Extended Abstract ~ Model-Based Actor-Critic for Multi-Objective Reinforcement Learning with Dynamic Utility Functions (Page 2818)

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


Heitzig, Jobst (Potsdam Institute for Climate Impact Research)

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


Hemaspaandra, Lane A. (University of Rochester)

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

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


Hennes, Daniel (DeepMind)

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


Hentz, Friedrik (Linköping University)

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


Hill, Lewis (University of Southampton)

Demonstration Track ~ The Influence Maximisation Game (Page 3059)


 

Hindriks, Koen (Vrije Universiteit Amsterdam)

JAAMAS Track ~ Emotion Contagion in Agent-based Simulations of Crowds: A Systematic Review (Page 1912)


Ho, Florence (National Institute of Advanced Industrial Science and Technology (AIST))

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


Hoefer, Martin (Goethe University Frankfurt)

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

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


Hofmann, Katja (Microsoft Research)

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


Hofmann, Till (RWTH Aachen University)

Main Track Full Paper ~ Abstracting Noisy Robot Programs (Page 534)


Hong, Weijun (NetEase Games AI Lab)

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


Horned, Arvid (Umeå University)

Main Track Full Paper ~ Models of Anxiety for Agent Deliberation: The Benefits of Anxiety-Sensitive Agents (Page 1761)


 

Hosseini, Hadi (Pennsylvania State University)

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

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


Hosseini, Mehran (Imperial College London)

Extended Abstract ~ Bounded and Unbounded Verification of RNN-Based Agents in Non-deterministic Environments (Page 2382)


Hostetter, John Wesley (North Carolina State University)

Main Track Full Paper ~ A Self-Organizing Neuro-Fuzzy Q-Network: Systematic Design with Offline Hybrid Learning (Page 1248)


Hou, Xinwen (Institute of Automation, Chinese Academy of Sciences)

Extended Abstract ~ Centralized Cooperative Exploration Policy for Continuous Control Tasks (Page 2454)


Hou, Yaqing (Dalian University of Technology)

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


Hou, Yuexian (Tianjin University)

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


Hovakimyan, Naira (University of Illinois at Urbana-Champaign)

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


Howley, Enda (University of Galway)

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


 

Hsu, William (Kansas State University)

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


Hsu, Zoe (Yale University)

Main Track Full Paper ~ Nonverbal Human Signals Can Help Autonomous Agents Infer Human Preferences for Their Behavior (Page 307)


Hu, Haoyuan (Cainiao Network)

Main Track Full Paper ~ A Deep Reinforcement Learning Approach for Online Parcel Assignment (Page 1961)


Hu, Xiaoyan (The Chinese University of Hong Kong)

Extended Abstract ~ Provably Efficient Offline RL with Options (Page 2592)


Hu, Yujing (NetEase Fuxi AI Lab)

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

Main Track Full Paper ~ Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning (Page 31)


Hu, Zheng (Beijing University of Post and Telecommunication)

Extended Abstract ~ Hierarchical Reinforcement Learning with Attention Reward (Page 2804)


Hua, Yun (East China Normal University)

Extended Abstract ~ Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas (Page 2784)


Huang, Cynthia (University of Waterloo & Vector Institute)

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


 

Huang, Kaiqi (Institution of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences)

Main Track Full Paper ~ PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination (Page 679)

Main Track Full Paper ~ Prioritized Tasks Mining for Multi-Task Cooperative Multi-Agent Reinforcement Learning (Page 1615)


Huang, Kun (China Mobile Communication Group Tianjin Co., Ltd.)

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


Huang, Ruixin (Tsinghua University)

Main Track Full Paper ~ Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration (Page 1108)


Huang, Sen (University of Electronic Science and Technology of China)

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


Huang, Shinan (National University of Singapore)

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


Huang, Shiyu (Tsinghua University)

Extended Abstract ~ DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization (Page 2634)


Huang, Shiyu (4Paradigm Inc.)

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

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


 

Huang, Wenhan (Shanghai Jiao Tong University)

Main Track Full Paper ~ Is Nash Equilibrium Approximator Learnable? (Page 233)


Huang, Xiaohan (University of Liverpool)

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


Huang, Xiaowei (University of Liverpool)

Main Track Full Paper ~ Decentralised and Cooperative Control of Multi-Robot Systems through Distributed Optimisation (Page 1421)


Huang, Yihong (University of Sci. & Tech. of China)

Extended Abstract ~ Multi-Agent Path Finding via Reinforcement Learning with Hybrid Reward (Page 2577)


Huber, Tobias (University of Augsburg)

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


Hübner, Jomi Fred (Federal University of Santa Catarina)

Demonstration Track ~ TDD for AOP: Test-Driven Development for Agent-Oriented Programming (Page 3038)

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


Hunt, William (University of Southampton)

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


 

Hurtado, Carlos (University of Pittsburgh)

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


Hussain, Aamal Abbas (Imperial College London)

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


Hussain, Hussain (Graz University of Technology)

Main Track Full Paper ~ Markov Aggregation for Speeding Up Agent-Based Movement Simulations (Page 1877)


Hussain, Mustafa (Georgia Institute of Technology)

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


Hussonnois, Maxence (Deakin University)

Doctoral Consortium ~ A Toolkit for Encouraging Safe Diversity in Skill Discovery (Page 2976)

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


 

Hutton, Jo (Soul Machines)

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


Hyland, David (University of Oxford)

Main Track Full Paper ~ k-Prize Weighted Voting Game (Page 2049)


Ibrahim, Lujain (New York University Abu Dhabi)

Main Track Full Paper ~ Do Explanations Improve the Quality of AI-assisted Human Decisions? An Algorithm-in-the-Loop Analysis of Factual & Counterfactual Explanations (Page 326)


Ihejimba, Chikadibia (The University of Texas at Dallas)

Extended Abstract ~ A Cloud-Based Solution for Multi-Agent Traffic Control Systems (Page 2529)


Iqbal, Tariq (University of Virginia)

Main Track Full Paper ~ CoRaL: Continual Representation Learning for Overcoming Catastrophic Forgetting (Page 1969)


Irissappane, Athirai A. (Amazon)

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


Islam, Kazi Ashik (University of Virginia)

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


 

Isola, Phillip (Massachusetts Institute of Technology)

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


Ivanov, Dmitry (HSE University)

Main Track Full Paper ~ Mediated Multi-Agent Reinforcement Learning (Page 49)


Jahani, Alireza (Brunel University London)

Main Track Full Paper ~ Markov Aggregation for Speeding Up Agent-Based Movement Simulations (Page 1877)


Jain, Manish (Google Research)

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


Jain, Shweta (Indian Institute of Technology Ropar)

Extended Abstract ~ A Novel Demand Response Model and Method for Peak Reduction in Smart Grids - PowerTAC (Page 2520)

Extended Abstract ~ Group Fair Clustering Revisited -- Notions and Efficient Algorithm (Page 2854)

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

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


Jamroga, Wojciech (Institute of Computer Science, Polish Academy of Sciences & University of Luxembourg)

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

Main Track Full Paper ~ Playing to Learn, or to Keep Secret: Alternating-Time Logic Meets Information Theory (Page 766)

Main Track Full Paper ~ Computationally Feasible Strategies (Page 784)


Järvisalo, Matti (University of Helsinki)

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


Jeewa, Asad (University of KwaZulu-Natal)

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


 

Jennings, Nicholas R. (Loughborough University)

Extended Abstract ~ Budget-Feasible Mechanism Design for Cost-Benefit Optimization in Gradual Service Procurement (Page 2706)


Jeong, Minchan (KAIST)

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


Jha, Shashi Shekhar (Indian Institute of Technology Ropar)

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


Ji, Tianchen (University of Illinois)

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


Ji, Zhanghexuan (University at Buffalo)

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


Jia, Fengjuan (University of Electronic Science and Technology of China)

Extended Abstract ~ Differentially Private Diffusion Auction: The Single-unit Case (Page 2724)


Jiang, Jiechuan (Peking University)

Main Track Full Paper ~ Adaptive Learning Rates for Multi-Agent Reinforcement Learning (Page 23)


Jiang, Jiuchuan (Nanjing University of Finance and Economics)

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


 

Jiang, Shengyi (The University of Hong Kong)

Main Track Full Paper ~ How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement (Page 1276)


Jiang, Yichuan (Southeast University)

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


Jiang, Yong (Tsinghua Shenzhen International Graduate School & Peng Cheng Laboratory)

Main Track Full Paper ~ User Device Interaction Prediction via Relational Gated Graph Attention Network and Intent-aware Encoder (Page 1634)


Jiao, Ruochen (Northwestern University)

Extended Abstract ~ Connectivity Enhanced Safe Neural Network Planner for Lane Changing in Mixed Traffic (Page 2568)


Jie, Luo (Niantic Inc.)

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


Jin, Bo (Tongji University)

Extended Abstract ~ Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas (Page 2784)

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


Jin, Emily (Stanford University)

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


 

Jin, Yongbo (Ant Group)

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


Johnson-Yu, Sonja (Harvard University)

Extended Abstract ~ Modeling Robustness in Decision-Focused Learning as a Stackelberg Game (Page 2908)


Jones, Matthew (University of Southampton)

Demonstration Track ~ The Influence Maximisation Game (Page 3059)


Jonker, Catholijn M. (TU Delft & Leiden University)

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


Joshi, Abhinav (IIT Kanpur)

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


Ju, Song (North Carolina State University)

Main Track Full Paper ~ HOPE: Human-Centric Off-Policy Evaluation for E-Learning and Healthcare (Page 1504)


Juba, Brendan (Washington University in St. Louis)

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


Jubair, Sheikh (Alberta Machine Intelligence Institute)

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


 

Jung, Whiyoung (KAIST)

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


Kaczmarczyk, Andrzej (AGH University of Science and Technology)

Main Track Full Paper ~ Bribery Can Get Harder in Structured Multiwinner Approval Election (Page 1725)


Kadam, Prashank (Vesta Corporation)

Extended Abstract ~ Accelerating Neural MCTS Algorithms using Neural Sub-Net Structures (Page 2637)


Kailas, Siva (Carnegie Mellon University)

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


Kalani, Ayush (Arizona State University)

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


Kalantari, Zahra (KTH Royal Institute of Technology)

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


Kalech, Meir (Ben-Gurion University of the Negev)

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


Källström, Johan (Linköping University)

Extended Abstract ~ Model-Based Actor-Critic for Multi-Objective Reinforcement Learning with Dynamic Utility Functions (Page 2818)


 

Källström, Johan (Linköping University)

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

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


Kalwar, Durgesh (TCS Research)

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


Kambhampati, Subbarao (Arizona State University)

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


Kambhampati, Subbarao (Arizona State University)

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


Kamhoua, Charles (US Army Research Laboratory)

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


Kampik, Timotheus (Umeå University & SAP Signavio)

Demonstration Track ~ TDD for AOP: Test-Driven Development for Agent-Oriented Programming (Page 3038)


Kanellopoulos, Panagiotis (University of Essex)

Main Track Full Paper ~ Debt Transfers in Financial Networks: Complexity and Equilibria (Page 260)

Main Track Full Paper ~ Settling the Distortion of Distributed Facility Location (Page 2152)


 

Kang, Inwon (Rensselaer Polytechnic Institute)

Extended Abstract ~ Learning to Explain Voting Rules (Page 2883)


Kang, Jie (Dalian University of Technology)

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


Kann, Katharina (University of Colorado Boulder)

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


Kaparias, Ioannis (University of Southampton)

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


Kar, Debajyoti (Indian Institute of Science)

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

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


Karimpanal, Thommen George (Deakin University)

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


Karlapalem, Kamalakar (IIIT-Hyderabad)

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


Karten, Seth (Carnegie Mellon University)

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


 

Kash, Ian A. (University of Illinois at Chicago)

Extended Abstract ~ An Analysis of Connections Between Regret Minimization and Actor Critic Methods in Cooperative Settings (Page 2836)

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


Kassab, Rami (Thales Land and Air Systems)

Extended Abstract ~ Multi-objective Reinforcement Learning in Factored MDPs with Graph Neural Networks (Page 2833)


Kavitha, Telikepalli (Tata Institute of Fundamental Research)

Main Track Full Paper ~ Semi-Popular Matchings and Copeland Winners (Page 957)


Kearns, Michael (University of Pennsylvania)

Main Track Full Paper ~ Efficient Stackelberg Strategies for Finitely Repeated Games (Page 643)


Keijzer, Marijn A. (Institute for Advanced Study in Toulouse)

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


Keith, Brendan (Brown University)

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


 

Kenny, Sarah (University of Southern California)

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


Keren, Sarah (Technion - Israel Institute of Technology)

Extended Abstract ~ Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning (Page 2433)


Khadilkar, Harshad (TCS Research)

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


Khanna, Pranav (Indian Institute of Technology)

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


Kharyal, Chaitanya (Microsoft)

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


Khoussainov, Bakh (University of Electronic Science and Technology of China)

Extended Abstract ~ Differentially Private Diffusion Auction: The Single-unit Case (Page 2724)

Main Track Full Paper ~ Learning Density-Based Correlated Equilibria for Markov Games (Page 652)


Killian, Jackson A. (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)


 

Kim, Joonkee (KAIST)

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


Kim, Julia M. (Georgia Institute of Technology)

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


Kim, Woojun (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)


Kim, Yoony (Yale University)

Main Track Full Paper ~ Nonverbal Human Signals Can Help Autonomous Agents Infer Human Preferences for Their Behavior (Page 307)


Kim, Yubin (MIT Media Lab)

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


Kita, Atsuyoshi (Panasonic Holdings Corporation)

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


Klassen, Toryn Q. (University of Toronto & Vector Institute)

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


 

Klenk, Matthew (Toyota Research Institute)

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


Klügl, Franziska (Örebro University)

Main Track Full Paper ~ Modelling Agent Decision Making in Agent-based Simulation - Analysis Using an Economic Technology Uptake Model (Page 1903)


Knop, Dušan (Czech Technical University in Prague)

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

Main Track Full Paper ~ Bribery Can Get Harder in Structured Multiwinner Approval Election (Page 1725)


Kökciyan, Nadin (University of Edinburgh)

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

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


Kölle, Michael (LMU Munich)

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


Kondylidis, Nikolaos (Vrije Universiteit Amsterdam)

Main Track Full Paper ~ Establishing Shared Query Understanding in an Open Multi-Agent System (Page 281)


Kong, Fang (Shanghai Jiao Tong University)

Main Track Full Paper ~ Online Influence Maximization under Decreasing Cascade Model (Page 2197)


 

Konieczny, Sébastien (CRIL - CNRS, Université d'Artois)

Extended Abstract ~ S&F: Sources and Facts Reliability Evaluation Method (Page 2778)


Koohy, Behrad (University of Southampton)

Doctoral Consortium ~ Reinforcement Learning and Mechanism Design for Routing of Connected and Autonomous Vehicles (Page 2988)


Koprulu, Cevahir (The University of Texas at Austin)

Extended Abstract ~ Reward-Machine-Guided, Self-Paced Reinforcement Learning (Page 2451)


Kortvelesy, Ryan (University of Cambridge)

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


Kosack, Damaris (University of Mannheim)

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


Kosan, Mert (UC Santa Barbara)

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


 

Kosny, Wiktoria (University of Warsaw)

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


Kotary, James (Syracuse University)

Extended Abstract ~ End-to-End Optimization and Learning for Multiagent Ensembles (Page 2613)


Kozuno, Tadashi (OMRON SINIC X)

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


Kramer, Stefan (ETH Zurich)

Extended Abstract ~ Deep Learning-Powered Iterative Combinatorial Auctions with Active Learning (Page 2919)


Kraus, Sarit (Bar Ilan University)

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

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


Krause, Franz (University of Mannheim)

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


 

Krishnamurthy, Balaji (Adobe Media and Data Science Research)

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


Krishnan, Narayanan C. (Indian Institute of Technology Palakkad)

Extended Abstract ~ Group Fair Clustering Revisited -- Notions and Efficient Algorithm (Page 2854)


Krogmann, Simon (Hasso Plattner Institute)

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


Kuang, Kun (Zhejiang University)

Main Track Full Paper ~ Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning (Page 31)


Kulkarni, Pooja (University of Illinois at Urbana Champaign)

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


Kulkarni, Rucha (University of Illinois at Urbana Champaign)

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


Kumar, Akshat (Singapore Management University)

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


 

Kumar, Ashwin (Washington University in St Louis)

Doctoral Consortium ~ Algorithmic Fairness in Temporal Resource Allocation (Page 2940)


Kumar, Pankaj (Copenhagen Business School)

Extended Abstract ~ Multi-Agent Deep Reinforcement Learning for High-Frequency Multi-Market Making (Page 2409)


Kumar, Rajay (University of Southern California)

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


Kumar, Rajiv Ranjan (Singapore Management University)

Main Track Full Paper ~ Strategic Planning for Flexible Agent Availability in Large Taxi Fleets (Page 552)


Kumar S, Yayathi Pavan (Indian Institute of Technology Ropar)

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


Kummer, Nikolai (Attabotics)

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


Kümpel, Michaela (University of Bremen)

Extended Abstract ~ Shopping Assistance for Everyone: Dynamic Query Generation On a Semantic Digital Twin As a Basis for Autonomous Shopping Assistance (Page 2523)


 

Kurenkov, Andrey (Stanford University)

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


Kurniawati, Hanna (The Australian National University)

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


Kusek, Bartosz (AGH University of Science and Technology)

Main Track Full Paper ~ Bribery Can Get Harder in Structured Multiwinner Approval Election (Page 1725)


Kwasnica, Anthony (The Pennsylvania State University)

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


Kwon, Changhyun (University of South Florida)

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


Kyropoulou, Maria (University of Essex)

Main Track Full Paper ~ Debt Transfers in Financial Networks: Complexity and Equilibria (Page 260)


Kyvik Nordås, Hildegunn (Örebro University)

Main Track Full Paper ~ Modelling Agent Decision Making in Agent-based Simulation - Analysis Using an Economic Technology Uptake Model (Page 1903)


 

La Poutré, Han (Centrum Wiskunde & Informatica and TU Delft)

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


Lacerda, Bruno (University of Oxford)

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


Lackner, Martin (TU Wien)

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)


Lagasquie-Schiex, Marie-Christine (IRIT, Toulouse 3 University)

Extended Abstract ~ Visual Explanations for Defence in Abstract Argumentation (Page 2346)


Lahiri, Abhiruk (Heinrich Heine University Düsseldorf)

Extended Abstract ~ How Does Fairness Affect the Complexity of Gerrymandering? (Page 2869)


Lakemeyer, Gerhard (RWTH-Aachen University)

Main Track Full Paper ~ A Logic of Only-Believing over Arbitrary Probability Distributions (Page 355)


 

Lakshika, Erandi (University of New South Wales)

Extended Abstract ~ Context-aware Agents based on Psychological Archetypes for Teamwork (Page 2313)


Lall, Deepesh Kumar (Oracle India)

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


Lam, Alexander (UNSW Sydney)

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


Lan, Tian (The George Washington University)

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


Lanctot, Marc (DeepMind)

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


Laroche, Romain (Microsoft Research)

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


 

Larson, Kate (University of Waterloo & DeepMind)

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

Main Track Full Paper ~ Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning (Page 1144)

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

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


Lascarides, Alex (University of Edinburgh)

Extended Abstract ~ Learning Manner of Execution from Partial Corrections (Page 2286)


Latifian, Mohamad (University of Toronto)

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


Laußmann, Christian (Heinrich-Heine-Universität)

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


Lavie, Maya (Ben Gurion University of the Negev)

Main Track Full Paper ~ Ask and You Shall be Served: Representing & Solving Multi-agent Optimization Problems with Service Requesters and Providers (Page 77)


Le, Jacob (Palo Alto Research Center)

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


Le Guillou, Marin (ONERA)

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


 

Leaf, Jennifer (Oregon State University)

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


Lederer, Patrick (Technical University of Munich)

Main Track Full Paper ~ Characterizations of Sequential Valuation Rules (Page 1697)

Main Track Full Paper ~ Strategyproof Social Decision Schemes on Super Condorcet Domains (Page 1734)


Lee, Namyeong (Hanyang University)

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


Lee, Wee Sun (National University of Singapore)

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


Lee, Wei-Chen (University of Oxford)

Main Track Full Paper ~ k-Prize Weighted Voting Game (Page 2049)


Leibo, Joel Z. (DeepMind)

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


 

Lemée, Jérémy (University of St. Gallen)

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

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


Lenzner, Pascal (Hasso Plattner Institute, University of Potsdam)

Extended Abstract ~ The Swiss Gambit (Page 2505)

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

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


Leofante, Francesco (Imperial College London)

Extended Abstract ~ Towards Robust Contrastive Explanations for Human-Neural Multi-agent Systems (Page 2343)


Leong, Tze-Yun (National University of Singapore)

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


Lera-Leri, Roger (IIIA-CSIC)

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


Lesage-Landry, Antoine (Polytechnique Montréal)

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


Leslie, Nandi (Raytheon Technologies)

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


 

Leturc, Christopher (Inria, Université Côte d'Azur, CNRS, I3S)

Extended Abstract ~ AJAR: An Argumentation-based Judging Agents Framework for Ethical Reinforcement Learning (Page 2427)


Leung, Ho-fung (The Chinese University of Hong Kong)

Extended Abstract ~ Provably Efficient Offline RL with Options (Page 2592)


Lev, Omer (Ben Gurion University of the Negev)

Main Track Full Paper ~ Ask and You Shall be Served: Representing & Solving Multi-agent Optimization Problems with Service Requesters and Providers (Page 77)


Levinger, Chaya (Ariel University)

Extended Abstract ~ Social Aware Coalition Formation with Bounded Coalition Size (Page 2667)


Li, Bo (Hong Kong Polytechnic University)

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

Main Track Full Paper ~ Approximation Algorithm for Computing Budget-Feasible EF1 Allocations (Page 170)

Main Track Full Paper ~ Possible Fairness for Allocating Indivisible Resources (Page 197)


Li, Chao (Institute of Automation, Chinese Academy of Sciences)

Extended Abstract ~ Centralized Cooperative Exploration Policy for Continuous Control Tasks (Page 2454)


Li, Chengshu (Stanford University)

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


 

Li, Dexun (Singapore Management University)

Main Track Full Paper ~ Avoiding Starvation of Arms in Restless Multi-Armed Bandits (Page 1303)


Li, Houqiang (University of Science and Technology of China)

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


Li, Jiawei (Tsinghua University)

Extended Abstract ~ Cedric: A Collaborative DDoS Defense System Using Credit (Page 2664)


Li, Jichen (Peking University)

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


Li, Jingning (NCS Pte Ltd)

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


Li, Jingqi (University of California, Berkeley)

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


 

Li, Jinzhao (Purdue University)

Main Track Full Paper ~ Provable Optimization of Quantal Response Leader-Follower Games with Exponentially Large Action Spaces (Page 756)


Li, Kai (Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences)

Main Track Full Paper ~ Sequential Cooperative Multi-Agent Reinforcement Learning (Page 485)


Li, Kang (Jilin University)

Main Track Full Paper ~ User Device Interaction Prediction via Relational Gated Graph Attention Network and Intent-aware Encoder (Page 1634)


Li, Michelle (Massachusetts Institute of Technology)

Main Track Full Paper ~ The Benefits of Power Regularization in Cooperative Reinforcement Learning (Page 457)


Li, Minghao (Tencent Robotics X Lab & Sun Yat-sen University)

Main Track Full Paper ~ CraftEnv: A Flexible Collective Robotic Construction Environment for Multi-Agent Reinforcement Learning (Page 1164)


 

Li, Minming (City University of Hong Kong)

Extended Abstract ~ Altruism in Facility Location Problems (Page 2892)

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


Li, Minyi (RMIT University)

Main Track Full Paper ~ Feedback-Guided Intention Scheduling for BDI Agents (Page 1173)


Li, Qing (Peng Cheng Laboratory)

Main Track Full Paper ~ User Device Interaction Prediction via Relational Gated Graph Attention Network and Intent-aware Encoder (Page 1634)


Li, Shijian (Zhejiang University)

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


Li, Shuai (Shanghai Jiao Tong University)

Main Track Full Paper ~ CraftEnv: A Flexible Collective Robotic Construction Environment for Multi-Agent Reinforcement Learning (Page 1164)

Main Track Full Paper ~ Online Influence Maximization under Decreasing Cascade Model (Page 2197)


 

Li, Wei (Jiangnan University)

Main Track Full Paper ~ Mitigating Imminent Collision for Multi-robot Navigation: A TTC-force Reward Shaping Approach (Page 1448)


Li, Wenbin (Nanjing University)

Extended Abstract ~ TiLD: Third-person Imitation Learning by Estimating Domain Cognitive Differences of Visual Demonstrations (Page 2421)


Li, Wenchao (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)


Li, Wenhao (The Chinese University of Hong Kong, Shenzhen)

Extended Abstract ~ Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas (Page 2784)

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

Main Track Full Paper ~ Diverse Policy Optimization for Structured Action Space (Page 819)

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


Li, Wu-Jun (Nanjing University)

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


Li, Xinran (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)


Li, Xinyi (Harbin Institute of Technology (Shenzhen))

Extended Abstract ~ Multi-Agent Path Finding with Time Windows: Preliminary Results (Page 2586)


Li, Xiu (Shenzhen International Graduate School, Tsinghua University)

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


 

Li, Xiyun (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)


Li, Xue (University of Edinburgh)

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


Li, Yanjie (Harbin Institute of Technology (Shenzhen))

Extended Abstract ~ Multi-Agent Path Finding with Time Windows: Preliminary Results (Page 2586)


Li, Yikang (Shanghai AI Laboratory)

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


Li, Yunfei (Tsinghua University)

Main Track Full Paper ~ Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration (Page 1108)


Li, Zhongguo (University College London)

Main Track Full Paper ~ Decentralised and Cooperative Control of Multi-Robot Systems through Distributed Optimisation (Page 1421)


Li, Zun (University of Michigan, Ann Arbor)

Doctoral Consortium ~ Artificial Intelligence Algorithms for Strategic Reasoning over Complex Multiagent Systems (Page 2931)


Li, Zun (DeepMind & University of Michigan)

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


Lian, Xinyuan (ShanghaiTech University)

Extended Abstract ~ Diffusion Multi-unit Auctions with Diminishing Marginal Utility Buyers (Page 2715)


 

Liang, Dave (Pony.ai)

Extended Abstract ~ Connectivity Enhanced Safe Neural Network Planner for Lane Changing in Mixed Traffic (Page 2568)


Liang, Weihang (University of Illinois)

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


Liang, Yancheng (Tsinghua University)

Main Track Full Paper ~ Fictitious Cross-Play: Learning Global Nash Equilibrium in Mixed Cooperative-Competitive Games (Page 1053)


Liao, Beishui (Zhejiang University)

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


Liao, Maizi (University of Waterloo)

Main Track Full Paper ~ IRS: An Incentive-compatible Reward Scheme for Algorand (Page 661)


Libin, Pieter J.K. (Vrije Universiteit Brussel)

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


Lichau, Sylvain (University of Bordeaux)

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


Lieberherr, Karl (Northeastern University)

Extended Abstract ~ Accelerating Neural MCTS Algorithms using Neural Sub-Net Structures (Page 2637)


 

Lim, Su Fang (Nanyang Technological University)

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


Lin, Fanqi (Tsinghua Univerisity)

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


 

Lin, Zhiyu (Georgia Institute of Technology)

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


Lindqvist, John (University of Bergen)

Doctoral Consortium ~ Logics for Information Aggregation (Page 2967)


Lindsay, Alan (Heriot-Watt University)

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


Lindsay, Jeremy (UNSW Sydney)

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


Ling, Jiajing (Singapore Management University)

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


Lingelbach, Michael (Stanford University)

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


Linnhoff-Popien, Claudia (LMU Munich)

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


 

Liscio, Enrico (TU Delft)

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


Liu, Bo (The University of Texas at Austin)

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


Liu, Boyi (Northwestern University)

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


Liu, Daxin (The University of Edinburgh)

Main Track Full Paper ~ A Logic of Only-Believing over Arbitrary Probability Distributions (Page 355)


Liu, Haolin (University of Virginia)

Extended Abstract ~ Diffusion Multi-unit Auctions with Diminishing Marginal Utility Buyers (Page 2715)


Liu, Haonan (University of Sci. & Tech. of China)

Extended Abstract ~ Multi-Agent Path Finding via Reinforcement Learning with Hybrid Reward (Page 2577)


Liu, Haoxin (ShanghaiTech University)

Main Track Full Paper ~ Distributed Mechanism Design in Social Networks (Page 1826)


Liu, Jiamou (The University of Auckland)

Extended Abstract ~ Differentially Private Diffusion Auction: The Single-unit Case (Page 2724)


 

Liu, Jiamou (University of Auckland)

Main Track Full Paper ~ Learning Density-Based Correlated Equilibria for Markov Games (Page 652)


Liu, Jiamou (University of Auckland)

Main Track Full Paper ~ Adversarial Inverse Reinforcement Learning for Mean Field Games (Page 1088)


Liu, Jijia (Tongji University)

Main Track Full Paper ~ Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration (Page 1108)


Liu, Qi (Harbin Institute of Technology (Shenzhen))

Extended Abstract ~ Multi-Agent Path Finding with Time Windows: Preliminary Results (Page 2586)


Liu, Shanqi (Zhejiang University)

Main Track Full Paper ~ Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning (Page 31)


Liu, Shuai (bilibili.)

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


Liu, Shuijing (University of Illinois)

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


 

Liu, Shuo (Columbia University)

Main Track Full Paper ~ A Hybrid Framework of Reinforcement Learning and Physics-Informed Deep Learning for Spatiotemporal Mean Field Games (Page 1079)


Liu, Tianyuan (Nanjing University)

Main Track Full Paper ~ How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement (Page 1276)


Liu, Xiang (Southeast University)

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


Liu, Xiangguo (Northwestern University)

Extended Abstract ~ Connectivity Enhanced Safe Neural Network Planner for Lane Changing in Mixed Traffic (Page 2568)


Liu, Xingkun (Heriot-Watt University)

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


Liu, Xinming (Massachusetts Institute of Technology)

Extended Abstract ~ Strategic Play By Resource-Bounded Agents in Security Games (Page 2478)


Liu, Xu (Shanghai Jiao Tong University & Tencent Robotics X Lab)

Main Track Full Paper ~ CraftEnv: A Flexible Collective Robotic Construction Environment for Multi-Agent Reinforcement Learning (Page 1164)


 

Liu, Xu-Hui (Nanjing University)

Main Track Full Paper ~ How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement (Page 1276)


Liu, Yanyu (Xiamen University)

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


Liu, Yihao (Nanyang Technological University)

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


Liu, Yong (Zhejiang University)

Main Track Full Paper ~ Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning (Page 31)


Liu, Yu (Institute of Automation, Chinese Academy of Sciences)

Extended Abstract ~ Centralized Cooperative Exploration Policy for Continuous Control Tasks (Page 2454)


Livne, Yaakov (Ben-Gurion University)

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


Loebl, Martin (Charles University)

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


 

Logan, Brian (Utrecht University & University of Aberdeen)

Extended Abstract ~ Intention Progression with Maintenance Goals (Page 2400)


Lomuscio, Alessio (Imperial College London)

Extended Abstract ~ Towards Robust Contrastive Explanations for Human-Neural Multi-agent Systems (Page 2343)


Lomuscio, Alessio (Imperial College London)

Extended Abstract ~ Bounded and Unbounded Verification of RNN-Based Agents in Non-deterministic Environments (Page 2382)


Lopez-Sanchez, Maite (University of Barcelona)

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


Lou, Xingzhou (Institution of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences)

Main Track Full Paper ~ PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination (Page 679)


Low, Bryan Kian Hsiang (National University of Singapore)

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


Lowmanstone, London (University of Minnesota)

Extended Abstract ~ Provably Manipulable 3D Structures using Graph Theory (Page 2550)


 

Lu, Junlin (University of Galway)

Doctoral Consortium ~ Preference Inference from Demonstration in Multi-objective Multi-agent Decision Making (Page 2961)


Lu, Zongqing (Peking University)

Main Track Full Paper ~ Adaptive Learning Rates for Multi-Agent Reinforcement Learning (Page 23)


Luck, Michael (King's College London)

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


Lücke, Leonie (University of Würzburg)

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


Lugrin, Birgit (University of Würzburg)

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


Luo, Jieting (University of Bern)

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


Luo, Sihong (Beijing University of Post and Telecommunication)

Extended Abstract ~ Hierarchical Reinforcement Learning with Attention Reward (Page 2804)


 

Luo, Wenhao (University of North Carolina at Charlotte)

Extended Abstract ~ Minimally Constraining Line-of-Sight Connectivity Maintenance for Collision-free Multi-Robot Networks under Uncertainty (Page 2583)


Luo, Wenhao (University of North Carolina at Charlotte)

Main Track Full Paper ~ Decentralized Safe Navigation for Multi-agent Systems via Risk-aware Weighted Buffered Voronoi Cells (Page 1476)


Luo, Yuan (The Chinese University of Hong Kong (Shenzhen) & Shenzhen Institute of Artificial Intelligence and Robotics for Society)

Extended Abstract ~ Incentivizing Sequential Crowdsourcing Systems (Page 2697)


Lv, Yuezhou (Impeccable Tech Pte. Ltd.)

Main Track Full Paper ~ Node Conversion Optimization in Multi-hop Influence Networks (Page 2205)


Lynch, Nancy (Massachusetts Institute of Technology)

Main Track Full Paper ~ A Comparison of New Swarm Task Allocation Algorithms in Unknown Environments with Varying Task Density (Page 525)


Lyu, Yiwei (Carnegie Mellon University)

Extended Abstract ~ Minimally Constraining Line-of-Sight Connectivity Maintenance for Collision-free Multi-Robot Networks under Uncertainty (Page 2583)

Main Track Full Paper ~ Decentralized Safe Navigation for Multi-agent Systems via Risk-aware Weighted Buffered Voronoi Cells (Page 1476)

Main Track Full Paper ~ Model-based Dynamic Shielding for Safe and Efficient Multi-agent Reinforcement Learning (Page 1587)