markov game

COACH: Cooperative Robot Teaching CoRL 2022 Communication-Efficient Actor-Critic Methods for Homogeneous Markov Games ICLR 2022 Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation ICML 2022 Finding Correlated Equilibrium of Constrained Markov Game: A Primal-Dual Approach NeurIPS 2022 Gap-Dependent Bounds for Two-Player Markov Games AISTATS 2022 Generalized Beliefs for Cooperative AI ICML 2022 Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits ICML 2022 Learning Two-Player Markov Games: Neural Function Approximation and Correlated Equilibrium NeurIPS 2022 Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model NeurIPS 2022 Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets ICML 2022 Policy Optimization for Markov Games: Unified Framework and Faster Convergence NeurIPS 2022 Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise Bonus NeurIPS 2022 Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov Games AISTATS 2022 Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games NeurIPS 2022 The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces ICML 2022 Towards General Function Approximation in Zero-Sum Markov Games ICLR 2022 When are Offline Two-Player Zero-Sum Markov Games Solvable? NeurIPS 2022 When Can We Learn General-Sum Markov Games with a Large Number of Players Sample-Efficiently? ICLR 2022 A Sharp Analysis of Model-based Reinforcement Learning with Self-Play ICML 2021 Bounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse Reward Learning with Iterative Reasoning and Cumulative Prospect Theory AAAI 2021 Decentralized Q-learning in Zero-sum Markov Games NeurIPS 2021 Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization NeurIPS 2021 Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games COLT 2021 Online Learning in Unknown Markov Games ICML 2021 Strategically efficient exploration in competitive multi-agent reinforcement learning UAI 2021