markov game

Thompson sampling for Markov games with piecewise stationary opponent policies UAI 2021 Bi-Level Actor-Critic for Multi-Agent Coordination AAAI 2020 Calibration of Shared Equilibria in General Sum Partially Observable Markov Games NeurIPS 2020 Learning to Incentivize Other Learning Agents NeurIPS 2020 Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium COLT 2020 Model and Reinforcement Learning for Markov Games with Risk Preferences AAAI 2020 Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity NeurIPS 2020 Near-Optimal Reinforcement Learning with Self-Play NeurIPS 2020 Provable Self-Play Algorithms for Competitive Reinforcement Learning ICML 2020 Multi-Agent Adversarial Inverse Reinforcement Learning ICML 2019 Non-Cooperative Inverse Reinforcement Learning NeurIPS 2019 A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents NeurIPS 2018 Inequity aversion improves cooperation in intertemporal social dilemmas NeurIPS 2018 Multi-Agent Generative Adversarial Imitation Learning NeurIPS 2018 Learning Nash Equilibrium for General-Sum Markov Games from Batch Data AISTATS 2017 On the Use of Non-Stationary Strategies for Solving Two-Player Zero-Sum Markov Games AISTATS 2016 Softened Approximate Policy Iteration for Markov Games ICML 2016 Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games ICML 2015 Finding a most biased coin with fewest flips COLT 2014