Multi-Agent Systems

PAC: Assisted Value Factorization with Counterfactual Predictions in Multi-Agent Reinforcement Learning NeurIPS 2022 Performative Prediction in a Stateful World AISTATS 2022 PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration ICML 2022 Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL ICML 2022 Policy Optimization for Markov Games: Unified Framework and Faster Convergence NeurIPS 2022 Polynomial-Time Optimal Equilibria with a Mediator in Extensive-Form Games NeurIPS 2022 Proportional Public Decisions AAAI 2022 Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise Bonus NeurIPS 2022 Proximal Learning With Opponent-Learning Awareness NeurIPS 2022 Public Signaling in Bayesian Ad Auctions IJCAI 2022 Regret, stability & fairness in matching markets with bandit learners AISTATS 2022 Risk-Averse No-Regret Learning in Online Convex Games ICML 2022 Robust Solutions for Multi-Defender Stackelberg Security Games IJCAI 2022 Safe Opponent-Exploitation Subgame Refinement NeurIPS 2022 Sample-Efficient Learning of Correlated Equilibria in Extensive-Form Games NeurIPS 2022 Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs NeurIPS 2022 Self-Organized Polynomial-Time Coordination Graphs ICML 2022 Sequential Information Design: Learning to Persuade in the Dark NeurIPS 2022 SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-agent Reinforcement Learning NeurIPS 2022 Subgame Solving in Adversarial Team Games NeurIPS 2022 Surprise Minimizing Multi-Agent Learning with Energy-based Models NeurIPS 2022 The Complexity of Proportionality Degree in Committee Elections AAAI 2022 Tolerance is Necessary for Stability: Single-Peaked Swap Schelling Games IJCAI 2022 Towards a Standardised Performance Evaluation Protocol for Cooperative MARL NeurIPS 2022 Towards General Function Approximation in Zero-Sum Markov Games ICLR 2022