markov game

Differential Privacy in Cooperative Multiagent Planning UAI 2023 Efficiently Computing Nash Equilibria in Adversarial Team Markov Games ICLR 2023 Hardness of Independent Learning and Sparse Equilibrium Computation in Markov Games ICML 2023 Information Design in Multi-Agent Reinforcement Learning NeurIPS 2023 Learning to Shape Rewards Using a Game of Two Partners AAAI 2023 Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning ICML 2023 Markov Game Video Augmentation for Action Segmentation ICCV 2023 Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity JMLR 2023 Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity NeurIPS 2023 Multi-Player Zero-Sum Markov Games with Networked Separable Interactions NeurIPS 2023 Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game ICLR 2023 OFCOURSE: A Multi-Agent Reinforcement Learning Environment for Order Fulfillment NeurIPS 2023 Offline Learning in Markov Games with General Function Approximation ICML 2023 One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning AISTATS 2023 On the Complexity of Multi-Agent Decision Making: From Learning in Games to Partial Monitoring COLT 2023 Posterior Sampling for Competitive RL: Function Approximation and Partial Observation NeurIPS 2023 Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources ICML 2023 Regret Minimization and Convergence to Equilibria in General-sum Markov Games ICML 2023 Representation Learning for Low-rank General-sum Markov Games ICLR 2023 RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning ICLR 2023 Symmetric (Optimistic) Natural Policy Gradient for Multi-Agent Learning with Parameter Convergence AISTATS 2023 Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback NeurIPS 2023 Zero-sum Polymatrix Markov Games: Equilibrium Collapse and Efficient Computation of Nash Equilibria NeurIPS 2023 A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games ICML 2022 A Simple Reward-free Approach to Constrained Reinforcement Learning ICML 2022