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Table of Contents

Author Index

Author Index

Gabor, Thomas (Ludwig Maximilian University of Munich)

Research Paper ~ Learning and Testing Resilience in Cooperative Multi-Agent Systems (page 1055)

Gai, Kun (Alibaba Group)

Extended Abstract ~ Sequential Advertising Agent with Interpretable User Hidden Intents (page 1966)

Gal, Kobi (Ben-Gurion University of the Negev & University of Edinburgh)

Research Paper ~ Threshold Task Games: Theory, Platform and Experiments (page 393)

Galstyan, Aram (University of Southern California)

Extended Abstract ~ Anchor Attention for Hybrid Crowd Forecasts Aggregation (page 1869)

Gama, Fernando (University of Pennsylvania)

Extended Abstract ~ Graph Neural Networks for Decentralized Path Planning (page 1901)

Gan, Jiarui (University of Oxford)

Research Paper ~ Mechanism Design for Defense Coordination in Security Games (page 402)

Ganapathi Subramanian, Sriram (University of Waterloo)

Research Paper ~ Multi Type Mean Field Reinforcement Learning (page 411)

Ganti, Raghu (IBM Research)

Research Paper ~ Strategyproof Reinforcement Learning for Online Resource Allocation (page 1296)

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

Research Paper ~ Computing Competitive Equilibria with Mixed Manna (page 420)

Garibay, Ivan (University of Central Florida)

Extended Abstract ~ Modeling Disinformation and the Effort to Counter It: A Cautionary Tale of When the Treatment Can Be Worse Than the Disease (page 1975)

Gaspers, Serge (University of New South Wales Sydney)

Extended Abstract ~ Mechanism Design for School Choice with Soft Diversity Constraints (page 1756)

Extended Abstract ~ Multiple Levels of Importance in Matching with Distributional Constraints (page 1759)

Gatină, Claudiu (West University of Timisoara)

Research Paper ~ It's Not Whom You Know, It's What You, or Your Friends, Can Do: Coalitional Frameworks for Network Centralities (page 566)

Gatti, Nicola (Politecnico di Milano)

Research Paper ~ Learning Probably Approximately Correct Maximin Strategies in Simulation-Based Games with Infinite Strategy Spaces (page 834)

Research Paper ~ Driving Exploration by Maximum Distribution in Gaussian Process Bandits (page 948)

Ge, Hongwei (Dalian University of Technology)

Extended Abstract ~ Decomposed Deep Reinforcement Learning for Robotic Control (page 1834)

Gebbran, Daniel (University of Sydney)

Demonstration ~ Coordination of Prosumer Agents via Distributed Optimal Power Flow: An Edge Computing Hardware Prototype (page 2104)

Geist, Matthieu (Google Research)

Research Paper ~ CopyCAT: Taking Control of Neural Policies with Constant Attacks (page 548)

Extended Abstract ~ Modified Actor-Critics (page 1925)

Gemp, Ian (DeepMind)

Research Paper ~ Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning (page 869)

Gerding, Enrico H. (University of Southampton)

Research Paper ~ Fair Allocation of Resources with Uncertain Availability (page 204)

Research Paper ~ Strategyproof Reinforcement Learning for Online Resource Allocation (page 1296)

Gervits, Felix (Tufts University)

Research Paper ~ Toward Genuine Robot Teammates: Improving Human-Robot Team Performance Using Robot Shared Mental Models (page 429)

Ghalme, Ganesh (Indian Institute of Science)

Extended Abstract ~ Ballooning Multi-Armed Bandits (page 1849)

Ghiassian, Sina (University of Alberta; Alberta Machine Intelligence Institute)

Research Paper ~ Improving Performance in Reinforcement Learning by Breaking Generalization in Neural Networks (page 438)

Ghosh, Ahana (MPI-SWS)

Research Paper ~ Towards Deployment of Robust Cooperative AI Agents: An Algorithmic Framework for Learning Adaptive Policies (page 447)

Gimbert, Hugo (CNRS, LaBRI , Université de Bordeaux)

Research Paper ~ A Bridge between Polynomial Optimization and Games with Imperfect Recall (page 456)

Gini, Maria (University of Minnesota)

Research Paper ~ Demystifying Emergent Intelligence and Its Effect on Performance In Large Robot Swarms (page 474)

Glasmachers, Tobias (Ruhr-University Bochum)

Research Paper ~ Analyzing Reinforcement Learning Benchmarks with Random Weight Guessing (page 975)

Goecks, Vinicius G. (Texas A&M University and US Army Research Laboratory)

Research Paper ~ Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments (page 465)

Goindani, Mahak (Purdue University)

Extended Abstract ~ Cluster-Based Social Reinforcement Learning (page 1852)

Gomes, Carla P. (Cornell University)

Keynote Talk ~ AI for Advancing Scientific Discovery for a Sustainable Future (page 1)

Gomes, Luis (GECAD/Polytechnic of Porto)

Demonstration ~ MARTINE: Multi-Agent based Real-Time INfrastructure for Energy (page 2114)

Gonen, Mira (Ariel University)

JAAMAS Track Paper ~ Probabilistic Physical Search on General Graphs: Approximations and Heuristics (page 2143)

Gonen, Rica (The Open University of Israel)

Extended Abstract ~ Fair Cake-Cutting Algorithms with Real Land-Value Data (page 2005)

JAAMAS Track Paper ~ COMBIMA: Truthful, Budget Maintaining, Dynamic Combinatorial Market (page 2140)

González-Parada, Eva (University of Malaga)

Research Paper ~ Adaptive Autonomy in Wireless Sensor Networks (page 375)

Gouaïch, Abdelkader (LIRMM, Université de Montpellier, CNRS)

Research Paper ~ Input Addition and Deletion in Reinforcement: Towards Learning with Structural Changes (page 177)

Goyal, Anirudh (MILA/University of Montreal)

Extended Abstract ~ Leveraging Communication Topologies Between Learning Agents in Deep Reinforcement Learning (page 1738)

Grabowski, Tomasz (University of Warsaw)

Research Paper ~ Signed Graph Games: Coalitional Games with Friends, Enemies and Allies (page 1287)

Graepel, Thore (Google DeepMind)

Keynote Talk ~ Keynote Talk by Thore Graepel (page 2)

Gratch, Jonathan (University of Southern California Institute for Creative Technologies)

Research Paper ~ The Effects of Autonomy and Task meaning in Algorithmic Management of Crowdwork (page 1404)

Extended Abstract ~ A Supervised Topic Model Approach to Learning Effective Styles within Human-Agent Negotiation (page 2047)

Greenwald, Amy (Brown University)

Research Paper ~ Improved Algorithms for Learning Equilibria in Simulation-Based Games (page 79)

Gremillion, Gregory M. (US Army Research Laboratory)

Research Paper ~ Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments (page 465)

Grinshpoun, Tal (Ariel University)

Extended Abstract ~ Coalitional Games with Stochastic Characteristic Functions Defined by Private Types (page 2086)

Gruslys, Audrunas (DeepMind)

Research Paper ~ Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients (page 492)

Gruver, Nate (Stanford University)

Extended Abstract ~ Multi-agent Adversarial Inverse Reinforcement Learning with Latent Variables (page 1855)

Grzesiuk, Marek (King's College London)

Research Paper ~ Multiwinner Candidacy Games (page 957)

Gu, Tianyu (Carnegie Mellon University)

Research Paper ~ Green Security Game with Community Engagement (page 529)

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

Extended Abstract ~ Designing Truthful Contextual Multi-Armed Bandits based Sponsored Search Auctions (page 1732)

Extended Abstract ~ Ballooning Multi-Armed Bandits (page 1849)

Extended Abstract ~ BitcoinF: Achieving Fairness For Bitcoin In Transaction Fee Only Model (page 2008)

Gummadi, Krishna P. (Max Planck Institute for Software Systems)

Research Paper ~ Minimizing Margin of Victory for Fair Political and Educational Districting (page 1305)

Gunaratne, Chathika (University of Central Florida)

Extended Abstract ~ Modeling Disinformation and the Effort to Counter It: A Cautionary Tale of When the Treatment Can Be Worse Than the Disease (page 1975)

Gunes, Hatice (University of Cambridge)

Research Paper ~ Culture-Based Explainable Human-Agent Deconfliction (page 1107)

Guo, Hui (North Carolina State University)

Research Paper ~ Elessar: Ethics in Norm-Aware Agents (page 16)

Guo, Jiong (Shandong University)

Research Paper ~ Parameterized Complexity of Shift Bribery in Iterative Elections (page 1665)

Gupta, Abhinav (MILA)

Research Paper ~ Capacity, Bandwidth, and Compositionality in Emergent Language Learning (page 1125)

Gupta, Jayesh K. (Stanford University)

Extended Abstract ~ Normalizing Flow Model for Policy Representation in Continuous Action Multi-agent Systems (page 1916)

Gupta, Shubham (Indian Institute of Science)

Extended Abstract ~ Networked Multi-Agent Reinforcement Learning with Emergent Communication (page 1858)

Extended Abstract ~ Winning an Election: On Emergent Strategic Communication in Multi-Agent Networks (page 1861)

Gupta, Sushmita (National Institute of Science Education and Research)

Research Paper ~ Algorithms for Swap and Shift Bribery in Structured Elections (page 366)

Habibi, Golnaz (Massachusetts Institute of Technology & MIT-IBM Watson AI Lab)

Research Paper ~ Learning Hierarchical Teaching Policies for Cooperative Agents (page 620)

Hadfield, Gillian K. (University of Toronto & OpenAI)

Extended Abstract ~ Silly Rules Improve the Capacity of Agents to Learn Stable Enforcement and Compliance Behaviors (page 1887)

Hadfield-Menell, Dylan (University of California, Berkeley)

Extended Abstract ~ Silly Rules Improve the Capacity of Agents to Learn Stable Enforcement and Compliance Behaviors (page 1887)

Hajiaghayi, MohammadTaghi (University of Maryland, College Park)

Extended Abstract ~ Matching Affinity Clustering: Improved Hierarchical Clustering at Scale with Guarantees (page 1864)

Halim, Nafisa (Boston University)

Research Paper ~ Increasing Evacuation during Disaster Events (page 654)

Han, The Anh (Teesside University)

Extended Abstract ~ Fear of Punishment Promotes the Emergence of Cooperation and Enhanced Social Welfare in Social Dilemmas (page 1819)

Hanaka, Tesshu (Chuo University)

Extended Abstract ~ Hedonic Seat Arrangement Problems (page 1777)

Hanke, Sten (FH Joanneum Gesellschaft mbH)

Extended Abstract ~ Modified Actor-Critics (page 1925)

Hanna, Josiah P. (University of Edinburgh)

Research Paper ~ Learning an Interpretable Traffic Signal Control Policy (page 88)

Hao, Jianye (Tianjin University)

Extended Abstract ~ Mastering Basketball With Deep Reinforcement Learning: An Integrated Curriculum Training Approach (page 1872)

Extended Abstract ~ Efficient Deep Reinforcement Learning through Policy Transfer (page 2053)

Harman, Jason L. (Louisiana State University)

Extended Abstract ~ Heuristic Strategies in Uncertain Approval Voting Environments (page 1993)

Harwell, John (University of Minnesota)

Research Paper ~ Demystifying Emergent Intelligence and Its Effect on Performance In Large Robot Swarms (page 474)

Doctoral Consortium ~ A Theoretical Framework for Self-Organized Task Allocation in Large Swarms (page 2191)

Hasanbeig, Mohammadhosein (University of Oxford)

Research Paper ~ Cautious Reinforcement Learning with Logical Constraints (page 483)

Hawes, Nick (University of Oxford)

Research Paper ~ Multi-Robot Planning Under Uncertainty with Congestion-Aware Models (page 1314)

Extended Abstract ~ Long-Run Multi-Robot Planning With Uncertain Task Durations (page 1750)

Hazon, Noam (Ariel University)

Research Paper ~ Viral vs. Effective: Utility Based Influence Maximization (page 1169)

Extended Abstract ~ Computing the Shapley Value for Ride-Sharing and Routing Games (page 1895)

JAAMAS Track Paper ~ Probabilistic Physical Search on General Graphs: Approximations and Heuristics (page 2143)

Hazra, Rishi (Indian Institute of Science)

Extended Abstract ~ Networked Multi-Agent Reinforcement Learning with Emergent Communication (page 1858)

He, Qiang (Swinburne University of Technology)

Extended Abstract ~ Translating Embedding with Local Connection for Knowledge Graph Completion (page 1825)

He, Ting (Penn State University)

Research Paper ~ Strategyproof Reinforcement Learning for Online Resource Allocation (page 1296)

He, Xuming (ShanghaiTech University)

Research Paper ~ Learning Context-aware Task Reasoning for Efficient Meta Reinforcement Learning (page 1440)

Heckman, Christoffer (University of Colorado Boulder)

Extended Abstract ~ Distributed Reinforcement Learning for Cooperative Multi-Robot Object Manipulation (page 1831)

Hegde, Nidhi (Borealis AI)

Research Paper ~ Multi Type Mean Field Reinforcement Learning (page 411)

Hennes, Daniel (DeepMind)

Research Paper ~ Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients (page 492)

Heppenstall, Alison (University of Leeds)

Keynote Talk ~ Building Cities from Slime Mould, Agents and Quantum Field Theory (page 3)

Hernandez-Leal, Pablo (Borealis AI)

JAAMAS Track Paper ~ A Very Condensed Survey and Critique of Multiagent Deep Reinforcement Learning (page 2146)

Hiatt, Laura M. (Naval Research Laboratory)

Research Paper ~ Human-Centered Decision Support for Agenda Scheduling (page 1161)

Research Paper ~ Using Cognitive Models to Train Big Data Models with Small Data (page 1413)

Hilty, Javier (George Mason University)

Extended Abstract ~ Distributed, Automated Calibration of Agent-based Model Parameters and Agent Behaviors (page 1828)

Ho, Chien-Ju (Washington University in St. Louis)

Research Paper ~ Differentially Private Contextual Dynamic Pricing (page 1368)

Hoang, Khoi D. (Washington University in St. Louis)

Research Paper ~ New Algorithms for Continuous Distributed Constraint Optimization Problems (page 502)

Hofmann, Katja (Microsoft Research)

Research Paper ~ Combining No-regret and Q-learning (page 593)

Research Paper ~ A Novel Individually Rational Objective In Multi-Agent Multi-Armed Bandits: Algorithms and Regret Bounds (page 1395)

Hogrebe, Tobias (Heinrich-Heine-Universität Düsseldorf)

Blue Sky Idea Paper ~ Towards Reality: Smoothed Analysis in Computational Social Choice (page 1691)

Extended Abstract ~ Complexity of Election Evaluation and Probabilistic Robustness (page 1771)

Hong, Yuan (Illinois Institute of Technology)

Extended Abstract ~ PANDA: Privacy-Aware Double Auction for Divisible Resources without a Mediator (page 1904)

Hoos, Holger H. (Leiden University)

Research Paper ~ Automated Configuration of Negotiation Strategies (page 1116)

Horak, Karel (Avast Software)

Extended Abstract ~ Discovering Imperfectly Observable Adversarial Actions using Anomaly Detection (page 1969)

Hosking, Simon (Defence Science and Technology Group)

Research Paper ~ Employing Models of Human Social Motor Behavior for Artificial Agent Trainers (page 1134)

Hossain, Safwan (University of Toronto)

Research Paper ~ The Effect of Strategic Noise in Linear Regression (page 511)

Hosseini, Ali (Fetch.ai)

Demonstration ~ Trading Agent Competition with Autonomous Economic Agents (page 2107)

Hosseini, Hadi (Rochester Institute of Technology)

JAAMAS Track Paper ~ Inferring True Voting Outcomes in Homophilic Social Networks (page 2137)

Hostallero, David Earl (McGill University)

Research Paper ~ Inducing Cooperation through Reward Reshaping based on Peer Evaluations in Deep Multi-Agent Reinforcement Learning (page 520)

How, Jonathan P. (Massachusetts Institute of Technology & MIT-IBM Watson AI Lab)

Research Paper ~ Learning Hierarchical Teaching Policies for Cooperative Agents (page 620)

Hu, Haoyuan (Cainiao Network)

Extended Abstract ~ Learning to Cooperate: Application of Deep Reinforcement Learning for Online AGV Path Finding (page 2077)

Hu, Shuyue (National University of Singapore)

Research Paper ~ Learning by Reusing Previous Advice in Teacher-Student Paradigm (page 1674)

Hu, Yujing (Netease Fuxi AI Lab)

Extended Abstract ~ Mastering Basketball With Deep Reinforcement Learning: An Integrated Curriculum Training Approach (page 1872)

Extended Abstract ~ Efficient Deep Reinforcement Learning through Policy Transfer (page 2053)

Hu, Zhihao (Virginia Tech)

Research Paper ~ An Active Learning Method for the Comparison of Agent-based Models (page 1377)

Huang, Allen (University of Cape Town)

Extended Abstract ~ Automating Coordinated Autonomous Vehicle Control (page 1867)

Huang, Furong (University of Maryland, College Park)

Research Paper ~ Can Agents Learn by Analogy? An Inferable Model for PAC Reinforcement Learning (page 1332)

Huang, Longbo (Tsinghua University)

Research Paper ~ Dueling Bandits: From Two-dueling to Multi-dueling (page 348)

Research Paper ~ Multi-Path Policy Optimization (page 1001)

Huang, Taoan (University of Southern California)

Research Paper ~ Green Security Game with Community Engagement (page 529)

Huang, Wenhan (Shanghai Jiao Tong University)

Research Paper ~ On the Complexity of Sequential Posted Pricing (page 1521)

Huang, Yiqing (ShanghaiTech University)

Extended Abstract ~ Coalitional Games with Stochastic Characteristic Functions Defined by Private Types (page 2086)

Huang, Yuzhong (University of Southern California)

Extended Abstract ~ Anchor Attention for Hybrid Crowd Forecasts Aggregation (page 1869)

Hübner, Jomi F. (Federal University of Santa Catarina)

Extended Abstract ~ Encapsulating Reactive Behaviour in Goal-Based Plans for Programming BDI Agents (page 1783)

Hughes, Edward (DeepMind)

Research Paper ~ Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games (page 538)

Research Paper ~ Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning (page 869)

Hussenot, Léonard (Google Research, INRIA SequeL & Université de Lille)

Research Paper ~ CopyCAT: Taking Control of Neural Policies with Constant Attacks (page 548)

Hybinette Balch, Tucker (J.P. Morgan AI Research)

Extended Abstract ~ Privacy-Preserving Dark Pools (page 1747)

Igarashi, Ayumi (University of Tokyo)

Research Paper ~ Weighted Envy-Freeness in Indivisible Item Allocation (page 231)

Inkawhich, Matthew (Duke University)

Research Paper ~ Snooping Attacks on Deep Reinforcement Learning (page 557)

Irfan, Mohammad T. (Bowdoin College)

Research Paper ~ Schelling Models with Localized Social Influence: A Game-Theoretic Framework (page 240)

Irissappane, Athirai A. (University of Washington)

Research Paper ~ DCRAC: Deep Conditioned Recurrent Actor-Critic for Multi-Objective Partially Observable Environments (page 931)

Isola, Phillip (Massachusetts Institute of Technology)

Extended Abstract ~ Neural MMO v1.3: A Massively Multiagent Game Environment for Training and Evaluating Neural Networks (page 2020)

Istrate, Gabriel (West University of Timisoara & The e-Austria Research Institute)

Research Paper ~ It's Not Whom You Know, It's What You, or Your Friends, Can Do: Coalitional Frameworks for Network Centralities (page 566)

Iwasaki, Atsushi (University of Electro-Communications & RIKEN AIP)

Research Paper ~ Approximately Stable Matchings with General Constraints (page 602)

Jaffke, Lars (University of Bergen)

Extended Abstract ~ Hedonic Seat Arrangement Problems (page 1777)

Jaillet, Patrick (Massachusetts Institute of Technology)

Research Paper ~ Competitive Ratios for Online Multi-capacity Ridesharing (page 771)

Jain, Shweta (Indian Institute of Technology (IIT))

Extended Abstract ~ Designing Truthful Contextual Multi-Armed Bandits based Sponsored Search Auctions (page 1732)

Extended Abstract ~ Ballooning Multi-Armed Bandits (page 1849)

Jamroga, Wojciech (ICS PAS & University of Luxembourg)

Demonstration ~ MsATL: A Tool for SAT-Based ATL Satisfiability Checking (page 2111)

Janowski, Kathrin (Human-Centered Multimedia)

Research Paper ~ Predicting Persuasive Effectiveness for Multimodal Behavior Adaptation using Bipolar Weighted Argument Graphs (page 1476)

Jennings, Nicholas R. (Imperial College London)

Research Paper ~ A Budget-Limited Mechanism for Category-Aware Crowdsourcing Systems (page 780)

Research Paper ~ AED: An Anytime Evolutionary DCOP Algorithm (page 825)

Blue Sky Idea Paper ~ Multiagent Climate Change Research (page 1726)

Extended Abstract ~ Task Coordination in Multiagent Systems (page 2056)

Jeong, David (University of Southern California)

Extended Abstract ~ A Supervised Topic Model Approach to Learning Effective Styles within Human-Agent Negotiation (page 2047)

Jia, Hangtian (Netease Fuxi AI Lab)

Extended Abstract ~ Mastering Basketball With Deep Reinforcement Learning: An Integrated Curriculum Training Approach (page 1872)

Jiang, Jing (University of Technology Sydney)

Research Paper ~ Competitive and Cooperative Heterogeneous Deep Reinforcement Learning (page 1656)

Jiang, Jinmingwu (Chongqing University)

Extended Abstract ~ Multi-agent Path Planning based on MA-RRT* Fixed Nodes (page 1875)

Jiang, Zhengyi (University of Manchester)

Blue Sky Idea Paper ~ A Multi-Robot Platform for the Autonomous Operation and Maintenance of Offshore Wind Farms (page 1696)

Jin, Hongxia (Samsung Research America)

Extended Abstract ~ An Interpretable Multimodal Visual Question Answering System using Attention-based Weighted Contextual Features (page 2038)

Jin, Junqi (Alibaba Group)

Extended Abstract ~ Sequential Advertising Agent with Interpretable User Hidden Intents (page 1966)

Johora, Fatema T. (Clausthal University of Technology)

Extended Abstract ~ An Agent-Based Model for Trajectory Modelling in Shared Spaces: A Combination of Expert-Based and Deep Learning Approaches (page 1878)

Jonker, Catholijn M. (Delft University of Technology & Leiden University)

Research Paper ~ Automated Configuration of Negotiation Strategies (page 1116)

Blue Sky Idea Paper ~ New Foundations of Ethical Multiagent Systems (page 1706)

Jordan, Michael I. (University of California, Berkeley)

Research Paper ~ Policy-Gradient Algorithms Have No Guarantees of Convergence in Linear Quadratic Games (page 860)

Jovan, Ferdian (Royal Holloway University of London)

Blue Sky Idea Paper ~ A Multi-Robot Platform for the Autonomous Operation and Maintenance of Offshore Wind Farms (page 1696)

Julier, Simon (University College London)

Extended Abstract ~ Not all Mistakes are Equal (page 1996)

Kacprzak, Magdalena (Bialystok University of Technology)

Demonstration ~ MsATL: A Tool for SAT-Based ATL Satisfiability Checking (page 2111)

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

Extended Abstract ~ Efficient Hybrid Fault Detection for Autonomous Robots (page 1884)

Kallen, Rachel W. (Macquarie University)

Research Paper ~ Employing Models of Human Social Motor Behavior for Artificial Agent Trainers (page 1134)

Källström, Johan (Linköping University)

Doctoral Consortium ~ Adaptive Agent-Based Simulation for Individualized Training (page 2193)

Kamar, Ece (Microsoft Research)

Extended Abstract ~ Mitigating the Negative Side Effects of Reasoning with Imperfect Models: A Multi-Objective Approach (page 1984)

Kamarthi, Harshavardhan (Indian Institute of Technology Madras)

Research Paper ~ Influence Maximization in Unknown Social Networks: Learning Policies for Effective Graph Sampling (page 575)

Kambhampati, Subbarao (Arizona State University)

Extended Abstract ~ Signaling Friends and Head-Faking Enemies Simultaneously: Balancing Goal Obfuscation and Goal Legibility (page 1889)

Kamiyama, Naoyuki (Kyushu University & JST PRESTO)

Research Paper ~ On Stable Matchings with Pairwise Preferences and Matroid Constraints (page 584)

Extended Abstract ~ An Information Distribution Method for Avoiding Hunting Phenomenon in Theme Parks (page 2050)

Kampik, Timotheus (Umeå University)

Demonstration ~ A Framework for Collaborative and Interactive Agent-oriented Developer Operations (page 2092)

Kang, Wan Ju (Korea Advanced Institute of Science and Technology)

Research Paper ~ Inducing Cooperation through Reward Reshaping based on Peer Evaluations in Deep Multi-Agent Reinforcement Learning (page 520)

Karamlou, Amin (University of Austin)

Demonstration ~ AI-assisted Schedule Explainer for Nurse Rostering (page 2101)

Karlapalem, Kamalakar (International Institute of Information Technology, Hyderabad)

Research Paper ~ Capturing Oracle Guided Hiders (page 1350)

Karpov, Alexander (National Research University Higher School of Economics, Institute of Control Sciences of Russian Academy of Sciences)

Extended Abstract ~ Restricted Domains of Dichotomous Preferences with Possibly Incomplete Information (page 2023)

Kartal, Bilal (Borealis AI)

JAAMAS Track Paper ~ A Very Condensed Survey and Critique of Multiagent Deep Reinforcement Learning (page 2146)

Karwowski, Jan (Warsaw University of Technology)

Extended Abstract ~ Anchoring Theory in Sequential Stackelberg Games (page 1881)

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

Research Paper ~ Combining No-regret and Q-learning (page 593)

Katz, Gilad (Ben-Gurion University)

Extended Abstract ~ CoMet: A Meta Learning-Based Approach for Cross-Dataset Labeling Using Co-Training (page 2068)

Kawase, Yasushi (Tokyo Institute of Technology & RIKEN AIP)

Research Paper ~ Approximately Stable Matchings with General Constraints (page 602)

Ke, Yiping (Nanyang Technological University)

Research Paper ~ Adaptive Knowledge Transfer based on Transfer Neural Kernel Network (page 1485)

Kempe, David (University of Southern California)

Research Paper ~ Inducing Equilibria in Networked Public Goods Games through Network Structure Modification (page 611)

Kempter, Bernhard (Siemens AG)

Research Paper ~ Learning and Testing Resilience in Cooperative Multi-Agent Systems (page 1055)

Khadka, Shauharda (Intel Corporation)

Research Paper ~ Multi-level Fitness Critics for Cooperative Coevolution (page 1143)

Khalastchi, Eliahu (College of Management Academic Studies)

Extended Abstract ~ Efficient Hybrid Fault Detection for Autonomous Robots (page 1884)

Khan, Md. Mosaddek (University of Dhaka)

Research Paper ~ AED: An Anytime Evolutionary DCOP Algorithm (page 825)

Extended Abstract ~ C-CoCoA: A Continuous Cooperative Constraint Approximation Algorithm to Solve Functional DCOPs (page 1990)

Kiesel, Scott (Amazon Robotics)

Extended Abstract ~ Lifelong Multi-Agent Path Finding in Large-Scale Warehouses (page 1898)

Kim, Daewoo (Korea Advanced Institute of Science and Technology)

Research Paper ~ Inducing Cooperation through Reward Reshaping based on Peer Evaluations in Deep Multi-Agent Reinforcement Learning (page 520)

Kim, Dong-Ki (Massachusetts Institute of Technology & MIT-IBM Watson AI Lab)

Research Paper ~ Learning Hierarchical Teaching Policies for Cooperative Agents (page 620)

Kipf, Thomas (University of Amsterdam)

Research Paper ~ Plannable Approximations to MDP Homomorphisms: Equivariance under Actions (page 1431)

Kit, Jabez Leong (Singapore University of Technology and Design)

Research Paper ~ Optimal Swarm Strategy for Dynamic Target Search and Tracking (page 672)

Kitani, Kris (Carnegie Mellon University)

Research Paper ~ MGpi: A Computational Model of Multiagent Group Perception and Interaction (page 1196)

Klaška, David (Masaryk University)

Research Paper ~ Adversarial Patrolling with Drones (page 629)

Klassen, Toryn Q. (University of Toronto)

Research Paper ~ Epistemic Plan Recognition (page 1251)

Klaudel, Hanna (IBISC, Univ Evry, Université Paris-Saclay)

JAAMAS Track Paper ~ VERIFCAR: A Framework for Modeling and Model checking Communicating Autonomous Vehicles (page 2126)

Kleiman-Weiner, Max (Harvard University, MIT, & Diffeo)

Extended Abstract ~ Too Many Cooks: Coordinating Multi-agent Collaboration Through Inverse Planning (page 2032)

Klein, Cornel (Siemens AG)

Research Paper ~ Learning and Testing Resilience in Cooperative Multi-Agent Systems (page 1055)

Knapik, Michał (ICS PAS)

Demonstration ~ MsATL: A Tool for SAT-Based ATL Satisfiability Checking (page 2111)

Knittel, Marina (University of Maryland, College Park)

Extended Abstract ~ Matching Affinity Clustering: Improved Hierarchical Clustering at Scale with Guarantees (page 1864)

Knobbout, Max (Triple)

JAAMAS Track Paper ~ A Formal Framework for Reasoning about Opportunistic Propensity in Multi-agent Systems (page 2149)

Kochenderfer, Mykel (Stanford University)

Research Paper ~ On Algorithmic Decision Procedures in Emergency Response Systems in Smart and Connected Communities (page 1046)

Extended Abstract ~ Multi-agent Adversarial Inverse Reinforcement Learning with Latent Variables (page 1855)

Extended Abstract ~ Normalizing Flow Model for Policy Representation in Continuous Action Multi-agent Systems (page 1916)

Kodric, Bojana (Gran Sasso Science Institute)

Extended Abstract ~ Distance Hedonic Games (page 1846)

Koenig, Sven (University of Southern California)

Research Paper ~ Moving Agents in Formation in Congested Environments (page 726)

Extended Abstract ~ Lifelong Multi-Agent Path Finding in Large-Scale Warehouses (page 1898)

Koh, Joewie J. (University of Colorado Boulder)

Extended Abstract ~ Distributed Reinforcement Learning for Cooperative Multi-Robot Object Manipulation (page 1831)

Koster, Raphael (DeepMind)

Extended Abstract ~ Silly Rules Improve the Capacity of Agents to Learn Stable Enforcement and Compliance Behaviors (page 1887)

Kotsialou, Grammateia (King's College London)

Research Paper ~ Incentivising Participation in Liquid Democracy with Breadth-First Delegation (page 638)

Kottur, Satwik (Carnegie Mellon University)

Research Paper ~ On Emergent Communication in Competitive Multi-Agent Teams (page 735)

Kouvaros, Panagiotis (Imperial College London)

Research Paper ~ Formal Verification of Neural Agents in Non-deterministic Environments (page 25)

Krafft, P.M. (Oxford Internet Institute)

Extended Abstract ~ Leveraging Communication Topologies Between Learning Agents in Deep Reinforcement Learning (page 1738)

Kraus, Sarit (Bar-Ilan University)

Research Paper ~ Mechanism Design for Defense Coordination in Security Games (page 402)

Research Paper ~ Non-Uniform Policies for Multi-Robot Asymmetric Perimeter Patrol in Adversarial Domains (page 983)

Extended Abstract ~ Boolean Games: Inferring Agents' Goals Using Taxation Queries (page 1735)

Kroening, Daniel (University of Oxford)

Research Paper ~ Cautious Reinforcement Learning with Logical Constraints (page 483)

Kruger, Justin (Université Paris-Dauphine)

Research Paper ~ Strategic Manipulation with Incomplete Preferences: Possibilities and Impossibilities for Positional Scoring Rules (page 645)

Kuang, Minchi (Tsinghua University)

Research Paper ~ Hindsight Planner (page 690)

Kučera, Antonín (Masaryk University)

Research Paper ~ Adversarial Patrolling with Drones (page 629)

Kuhlman, Chris J. (University of Virginia)

Research Paper ~ Increasing Evacuation during Disaster Events (page 654)

Kulkarni, Anagha (Arizona State University)

Extended Abstract ~ Signaling Friends and Head-Faking Enemies Simultaneously: Balancing Goal Obfuscation and Goal Legibility (page 1889)

Kumabe, Soh (The University of Tokyo)

Research Paper ~ Convexity of Hypergraph Matching Game (page 663)

Kumar, Akshat (Singapore Management University)

Research Paper ~ Hierarchical Multiagent Reinforcement Learning for Maritime Traffic Management (page 1278)

Kumar, Pankaj (Copenhagen Business School)

Extended Abstract ~ Deep Reinforcement Learning for Market Making (page 1892)

Kumar, Sumit (Carnegie Mellon University)

Extended Abstract ~ Learning Transferable Cooperative Behavior in Multi-Agent Teams (page 1741)

Kumar, T. K. Satish (University of Southern California)

Research Paper ~ Moving Agents in Formation in Congested Environments (page 726)

Extended Abstract ~ Lifelong Multi-Agent Path Finding in Large-Scale Warehouses (page 1898)

Kurkowski, Miroslaw (Cardinal St. Wyszynski University)

Demonstration ~ VerSecTis - An Agent based Model Checker for Security Protocols (page 2123)

Kurpiewski, Damian (ICS PAS)

Demonstration ~ MsATL: A Tool for SAT-Based ATL Satisfiability Checking (page 2111)

Kutay, Cat (University of Technology Sydney)

Demonstration ~ User-Models to Drive an Adaptive Virtual Advisor (page 2117)

Kwa, Hian Lee (Singapore University of Technology and Design & Thales Solutions Asia)

Research Paper ~ Optimal Swarm Strategy for Dynamic Target Search and Tracking (page 672)

La Porta, Tom (Penn State University)

Research Paper ~ Strategyproof Reinforcement Learning for Online Resource Allocation (page 1296)

La Torre, Salvatore (Università degli Studi di Salerno)

Research Paper ~ On the Model-Checking of Branching-time Temporal Logic with BDI Modalities (page 681)

Lacerda, Bruno (University of Oxford)

Research Paper ~ Multi-Robot Planning Under Uncertainty with Congestion-Aware Models (page 1314)

Extended Abstract ~ Long-Run Multi-Robot Planning With Uncertain Task Durations (page 1750)

Lahijanian, Morteza (University of Colorado Boulder)

Research Paper ~ Explainable Multi Agent Path Finding (page 34)

Lai, Yaqing (Tsinghua University)

Research Paper ~ Hindsight Planner (page 690)

Lai, Zhao-Rong (Jinan University)

Extended Abstract ~ Automatic Synthesis of Generalized Winning Strategy of Impartial Combinatorial Games (page 2041)

Lakhani, Karim R. (Harvard Business School)

Extended Abstract ~ The Price of Anarchy of Self-Selection in Tullock Contests (page 1795)

Lakkaraju, Kiran (Sandia National Laboratories)

Research Paper ~ An Active Learning Method for the Comparison of Agent-based Models (page 1377)

Lanctot, Marc (DeepMind)

Research Paper ~ Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients (page 492)

Laroche, Romain (Microsoft Research)

Research Paper ~ Safe Policy Improvement with an Estimated Baseline Policy (page 1269)

Larson, Kate (University of Waterloo)

Research Paper ~ Testing Axioms Against Human Reward Divisions in Cooperative Games (page 312)

JAAMAS Track Paper ~ Inferring True Voting Outcomes in Homophilic Social Networks (page 2137)

Lasecki, Walter S. (University of Michigan – Ann Arbor)

Research Paper ~ Yesterday's Reward is Today's Punishment: Contrast Effects in Human Feedback to Reinforcement Learning Agents (page 1090)

Lather, Rajdeep Singh (George Mason University)

Extended Abstract ~ Distributed, Automated Calibration of Agent-based Model Parameters and Agent Behaviors (page 1828)

Lau, Hoong Chuin (Singapore Management University)

Research Paper ~ Hierarchical Multiagent Reinforcement Learning for Maritime Traffic Management (page 1278)

Lawhern, Vernon J. (US Army Research Laboratory)

Research Paper ~ Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments (page 465)

Lee, Edward (University of New South Wales & Data61 CSIRO)

Extended Abstract ~ The Temporary Exchange Problem (page 1753)

Lee, Myles (Oracle Inc.)

Demonstration ~ AI-assisted Schedule Explainer for Nurse Rostering (page 2101)

Leibo, Joel Z. (DeepMind)

Research Paper ~ Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games (page 538)

Research Paper ~ Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning (page 869)

Extended Abstract ~ Silly Rules Improve the Capacity of Agents to Learn Stable Enforcement and Compliance Behaviors (page 1887)

Lemeilleur, Sylvaine (CIRAD)

Research Paper ~ Peer Reviewing in Participatory Guarantee Systems: Modelisation and Algorithmic Aspects (page 114)

Leong, Tze-Yun (National University of Singapore)

Research Paper ~ Adaptive Knowledge Transfer based on Transfer Neural Kernel Network (page 1485)

Lepri, Bruno (FBK)

Research Paper ~ Optimal Control in Partially Observable Complex Social Systems (page 1557)

Lerman, Kristina (USC Information Sciences Institute)

Research Paper ~ Massive Cross-Platform Simulations of Online Social Networks (page 895)

Lespérance, Yves (York University)

Research Paper ~ Goal Formation through Interaction in the Situation Calculus: A Formal Account Grounded in Behavioral Science (page 294)

Lespiau, Jean-Baptiste (DeepMind)

Research Paper ~ Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients (page 492)

Letchford, Joshua (Sandia National Laboratories)

Research Paper ~ An Active Learning Method for the Comparison of Agent-based Models (page 1377)

Letsios, Dimitrios (King's College London)

Demonstration ~ AI-assisted Schedule Explainer for Nurse Rostering (page 2101)

Leturc, Christopher (Normandie University, UNICAEN, ENSICAEN, CNRS, GREYC)

Research Paper ~ A Deliberate BIAT Logic for Modeling Manipulations (page 699)

Leung, Cyril (The University of British Columbia)

Extended Abstract ~ Explainable and Contextual Preferences based Decision Making with Assumption-based Argumentation for Diagnostics and Prognostics of Alzheimer's Disease (page 2071)

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

Research Paper ~ Learning by Reusing Previous Advice in Teacher-Student Paradigm (page 1674)

Levine, Sergey (University of California, Berkeley)

Keynote Talk ~ Unsupervised Reinforcement Learning (page 5)

Levinger, Chaya (Ariel University)

Extended Abstract ~ Computing the Shapley Value for Ride-Sharing and Routing Games (page 1895)

Lewis, Michael (University of Pittsburgh)

Extended Abstract ~ Learning Transferable Cooperative Behavior in Multi-Agent Teams (page 1741)

Extended Abstract ~ Human-in-the-loop Planning and Monitoring of Swarm Search and Service Missions (page 1798)

Leyton-Brown, Kevin (University of British Columbia)

Research Paper ~ Report-Sensitive Spot-Checking in Peer-Grading Systems (page 1593)

Li, Bo (University of Oxford)

Research Paper ~ Fair Resource Sharing and Dorm Assignment (page 708)

Li, Guangliang (Ocean University of China)

Extended Abstract ~ Interactive RL via Online Human Demonstrations (page 2065)

Li, Hai (Duke University)

Research Paper ~ Snooping Attacks on Deep Reinforcement Learning (page 557)

Li, Han (Alibaba Group)

Extended Abstract ~ Sequential Advertising Agent with Interpretable User Hidden Intents (page 1966)

Li, Henger (Tulane University)

Research Paper ~ Spatial-Temporal Moving Target Defense: A Markov Stackelberg Game Model (page 717)

Li, Jian (Binghamton University, the State University of New York)

Extended Abstract ~ Online Algorithms for Multi-shop Ski Rental with Machine Learned Predictions (page 2035)

Li, Jiaoyang (University of Southern California)

Research Paper ~ Moving Agents in Formation in Congested Environments (page 726)

Li, Minming (City University of Hong Kong)

Research Paper ~ Strategyproof Mechanisms for Activity Scheduling (page 1539)

Extended Abstract ~ Two-sided Auctions with Budgets: Fairness, Incentives and Efficiency (page 1907)

Li, Qiang (Chongqing University)

Research Paper ~ RMB-DPOP: Refining MB-DPOP by Reducing Redundant Inference (page 249)

Li, Qingbiao (University of Cambridge)

Extended Abstract ~ Graph Neural Networks for Decentralized Path Planning (page 1901)

Li, Shaling (University of Portsmouth)

Research Paper ~ Real-time Learning and Planning in Environments with Swarms: A Hierarchical and a Parameter-based Simulation Approach (page 1019)

Li, Yingkai (Northwestern University)

Research Paper ~ Fair Resource Sharing and Dorm Assignment (page 708)

Li, Yuhao (Peking University)

Extended Abstract ~ Limiting the Deviation Incentives in Resource Sharing Networks (page 1813)

Liang, Paul Pu (Carnegie Mellon University)

Research Paper ~ On Emergent Communication in Competitive Multi-Agent Teams (page 735)

Liang, Yitao (University of California, Los Angeles)

Research Paper ~ Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration (page 753)

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

Extended Abstract ~ Thompson Sampling for Factored Multi-Agent Bandits (page 2029)

Lillis, David (University College Dublin)

Extended Abstract ~ Explicit Modelling of Resources for Multi-Agent MicroServices using the CArtAgO Framework (page 1957)

Lim, Sungsu (University of Alberta)

Research Paper ~ Maximizing Information Gain in Partially Observable Environments via Prediction Rewards (page 1215)

Lima, Pedro (Instituto Superior Técnico, University of Lisbon)

Extended Abstract ~ Long-Run Multi-Robot Planning With Uncertain Task Durations (page 1750)

Lin, Baihan (Columbia University)

Research Paper ~ A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry (page 744)

Lin, Chin-Teng (University of Technology Sydney)

Demonstration ~ Hierarchical and Non-Hierarchical Multi-Agent Interactions Based on Unity Reinforcement Learning (page 2095)

Lindsay, Alan (University of Huddersfield)

Research Paper ~ Extending Narrative Planning Domains with Linguistic Resources (page 1081)

Linnhoff-Popien, Claudia (Ludwig Maximilian University of Munich)

Research Paper ~ Learning and Testing Resilience in Cooperative Multi-Agent Systems (page 1055)

Lipovetzky, Nir (The University of Melbourne)

Research Paper ~ Goal Recognition Using Off-The-Shelf Process Mining Techniques (page 1072)

Lisy, Viliam (Avast Software & Czech Technical University in Prague)

Extended Abstract ~ Discovering Imperfectly Observable Adversarial Actions using Anomaly Detection (page 1969)

Liu, Anji (University of California, Los Angeles)

Research Paper ~ Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration (page 753)

Liu, Anthony Z. (University of Michigan – Ann Arbor)

Research Paper ~ Yesterday's Reward is Today's Punishment: Contrast Effects in Human Feedback to Reinforcement Learning Agents (page 1090)

Liu, Bingyu (Illinois Institute of Technology)

Extended Abstract ~ PANDA: Privacy-Aware Double Auction for Divisible Resources without a Mediator (page 1904)

Liu, Jiamou (The University of Auckland)

Extended Abstract ~ Social Structure Emergence: A Multi-agent Reinforcement Learning Framework for Relationship Building (page 1807)

Liu, Miao (IBM Research, MIT-IBM Watson AI Lab)

Research Paper ~ Learning Hierarchical Teaching Policies for Cooperative Agents (page 620)

Liu, Shengxin (Nanyang Technological University)

Research Paper ~ Candidate Selections with Proportional Fairness Constraints (page 150)

Liu, Shijun (Shandong University)

Extended Abstract ~ Translating Embedding with Local Connection for Knowledge Graph Completion (page 1825)

Liu, Xiang (Southeast University)

Extended Abstract ~ Two-sided Auctions with Budgets: Fairness, Incentives and Efficiency (page 1907)

Liu, Yang (University of California, Santa Cruz)

Research Paper ~ Differentially Private Contextual Dynamic Pricing (page 1368)

Liu, Yuan (Northeastern University)

Extended Abstract ~ A POMDP-based Method for Analyzing Blockchain System Security Against Long Delay Attack: (Extended Abstract) (page 2074)

Liu, Zhengyang (Beijing Institute of Technology)

Research Paper ~ On the Complexity of Sequential Posted Pricing (page 1521)

Lo, Shih-Yun (University of Texas at Austin)

Extended Abstract ~ Robust Following with Hidden Information in Travel Partners (page 1910)

Lo, Yat Long (University of Alberta; Alberta Machine Intelligence Institute)

Research Paper ~ Improving Performance in Reinforcement Learning by Breaking Generalization in Neural Networks (page 438)

Logan, Brian (University of Nottingham)

Research Paper ~ Intention-Aware Multiagent Scheduling (page 285)

Lomuscio, Alessio (Imperial College London)

Research Paper ~ Formal Verification of Neural Agents in Non-deterministic Environments (page 25)

Research Paper ~ Parameterised Verification of Strategic Properties in Probabilistic Multi-Agent Systems (page 762)

Long, Guodong (University of Technology Sydney)

Research Paper ~ Competitive and Cooperative Heterogeneous Deep Reinforcement Learning (page 1656)

Lopez-Cot, Sebastian (Massachusetts Institute of Technology & MIT-IBM Watson AI Lab)

Research Paper ~ Learning Hierarchical Teaching Policies for Cooperative Agents (page 620)

Lopez-Sanchez, Maite (Universitat de Barcelona (UB))

Research Paper ~ A Structural Solution to Sequential Moral Dilemmas (page 1152)

Research Paper ~ A Qualitative Approach to Composing Value-Aligned Norm Systems (page 1233)

Loreggia, Andrea (European University Institute)

Extended Abstract ~ Voting with Random Classifiers (VORACE) (page 1822)

Lowalekar, Meghna (Singapore Management University)

Research Paper ~ Competitive Ratios for Online Multi-capacity Ridesharing (page 771)

Lowmanstone, London (Harvard University)

Research Paper ~ Demystifying Emergent Intelligence and Its Effect on Performance In Large Robot Swarms (page 474)

Lu, Qifan (University of Washington)

Research Paper ~ FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback (page 1512)

Luan, Sitao (Mila, McGill University)

Research Paper ~ META-Learning State-based Eligibility Traces for More Sample-Efficient Policy Evaluation (page 1647)

Lucas, Gale (University of Southern California Institute for Creative Technologies)

Research Paper ~ The Effects of Autonomy and Task meaning in Algorithmic Management of Crowdwork (page 1404)

Lujak, Marin (IMT Lille Douai University Lille)

Extended Abstract ~ A Decentralized Multi-Agent Coordination Method for Dynamic and Constrained Production Planning (page 1913)

Luke, Sean (George Mason University)

Extended Abstract ~ Distributed, Automated Calibration of Agent-based Model Parameters and Agent Behaviors (page 1828)

Luo, Haipeng (University of Southern California)

Extended Abstract ~ The Fair Contextual Multi-Armed Bandit (page 1810)

Luo, Jieting (Zhejiang University)

JAAMAS Track Paper ~ A Formal Framework for Reasoning about Opportunistic Propensity in Multi-agent Systems (page 2149)

Luo, Lan (University of Southern California)

Extended Abstract ~ Sequential Advertising Agent with Interpretable User Hidden Intents (page 1966)

Luo, Rui (University College London)

Extended Abstract ~ Sequential Advertising Agent with Interpretable User Hidden Intents (page 1966)

Luo, Tiejian (University of Chinese Academy of Sciences)

Extended Abstract ~ Sequential Advertising Agent with Interpretable User Hidden Intents (page 1966)

Luo, Yuan (Imperial College London)

Research Paper ~ A Budget-Limited Mechanism for Category-Aware Crowdsourcing Systems (page 780)

Luperto, Matteo (Università degli Studi di Milano)

Research Paper ~ HMMs for Anomaly Detection in Autonomous Robots (page 105)

Lupu, Andrei (Mila, McGill University)

Research Paper ~ Gifting in Multi-Agent Reinforcement Learning (page 789)

Extended Abstract ~ Option-Critic in Cooperative Multi-agent Systems (page 1792)

Lv, Tangjie (Netease Fuxi AI Lab)

Extended Abstract ~ Mastering Basketball With Deep Reinforcement Learning: An Integrated Curriculum Training Approach (page 1872)

Lyu, Xueguang (Northeastern University)

Research Paper ~ Likelihood Quantile Networks for Coordinating Multi-Agent Reinforcement Learning (page 798)