markov game

Independent Learning in Constrained Markov Potential Games AISTATS 2024 Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem NeurIPS 2024 Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms NeurIPS 2024 Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning AAAI 2024 Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value ICML 2024 Multi-Agent Imitation Learning: Value is Easy, Regret is Hard NeurIPS 2024 Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games AISTATS 2024 Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints ICML 2024 Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property AAAI 2024 Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition NeurIPS 2024 Provable Memory Efficient Self-Play Algorithm for Model-free Reinforcement Learning ICLR 2024 Refined Sample Complexity for Markov Games with Independent Linear Function Approximation (Extended Abstract) COLT 2024 RL in Markov Games with Independent Function Approximation: Improved Sample Complexity Bound under the Local Access Model AISTATS 2024 Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula ICLR 2024 Robust Inverse Constrained Reinforcement Learning under Model Misspecification ICML 2024 Sample-Efficient Multi-Agent RL: An Optimization Perspective ICLR 2024 Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding NeurIPS 2024 Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems ICLR 2024 A Reduction-based Framework for Sequential Decision Making with Delayed Feedback NeurIPS 2023 Breaking the Curse of Multiagency: Provably Efficient Decentralized Multi-Agent RL with Function Approximation COLT 2023 Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopically Rational Followers? JMLR 2023 Can We Find Nash Equilibria at a Linear Rate in Markov Games? ICLR 2023 Convex-Concave Zero-Sum Markov Stackelberg Games NeurIPS 2023 Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games ICLR 2023 Decentralized Robust V-learning for Solving Markov Games with Model Uncertainty JMLR 2023