Multi-Agent Systems

Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions NeurIPS 2020 Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination ICML 2020 Fair Division: The Computer Scientist’s Perspective IJCAI 2020 Fair Division Through Information Withholding AAAI 2020 Fast computation of Nash Equilibria in Imperfect Information Games ICML 2020 Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications NeurIPS 2020 Finite-Time Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation AISTATS 2020 Generative Exploration and Exploitation AAAI 2020 Gifting in Multi-Agent Reinforcement Learning (Student Abstract) AAAI 2020 Google Research Football: A Novel Reinforcement Learning Environment AAAI 2020 Hiding in Multilayer Networks AAAI 2020 Incentive-Compatible Classification AAAI 2020 Incorporating Failure Events in Agents’ Decision Making to Improve User Satisfaction IJCAI 2020 Information Elicitation Mechanisms for Statistical Estimation AAAI 2020 Information Shaping for Enhanced Goal Recognition of Partially-Informed Agents AAAI 2020 Interactive Learning with Proactive Cognition Enhancement for Crowd Workers AAAI 2020 Inverse Reinforcement Learning for Team Sports: Valuing Actions and Players IJCAI 2020 Iterative Delegations in Liquid Democracy with Restricted Preferences AAAI 2020 Learning a Decentralized Multi-Arm Motion Planner CoRL 2020 Learning Agent Communication under Limited Bandwidth by Message Pruning AAAI 2020 Learning Efficient Multi-agent Communication: An Information Bottleneck Approach ICML 2020 Learning Strategic Network Emergence Games NeurIPS 2020 Learning to Interactively Learn and Assist AAAI 2020 Learning to Model Opponent Learning (Student Abstract) AAAI 2020 Learning to Walk in the Real World with Minimal Human Effort CoRL 2020