coarse correlated equilibrium

Distributionally Robust Online Markov Game with Linear Function Approximation AAAI 2026 Near Optimal Convergence to Coarse Correlated Equilibrium in General-Sum Markov Games L4DC 2026 Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games ICML 2025 Õ(T^-1) Convergence to (coarse) correlated equilibria in full-information general-sum Markov games L4DC 2024 Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games ICML 2024 Multi-Agent Learning in Contextual Games under Unknown Constraints AISTATS 2024 On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games NeurIPS 2024 Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property AAAI 2024 RL in Markov Games with Independent Function Approximation: Improved Sample Complexity Bound under the Local Access Model AISTATS 2024 The complexity of approximate (coarse) correlated equilibrium for incomplete information games COLT 2024 Breaking the Curse of Multiagency: Provably Efficient Decentralized Multi-Agent RL with Function Approximation COLT 2023 Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games ICLR 2023 Hardness of Independent Learning and Sparse Equilibrium Computation in Markov Games ICML 2023 Learning Rationalizable Equilibria in Multiplayer Games ICLR 2023 Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity NeurIPS 2023 Multi-Agent Reinforcement Learning with Reward Delays L4DC 2023 Online Learning and Solving Infinite Games with an ERM Oracle COLT 2023 On the Interplay between Social Welfare and Tractability of Equilibria NeurIPS 2023 Stochastic No-regret Learning for General Games with Variance Reduction ICLR 2023 The Complexity of Markov Equilibrium in Stochastic Games COLT 2023 The Equivalence of Dynamic and Strategic Stability under Regularized Learning in Games NeurIPS 2023 Almost Optimal Algorithms for Two-player Zero-Sum Linear Mixture Markov Games ALT 2022 Beyond Time-Average Convergence: Near-Optimal Uncoupled Online Learning via Clairvoyant Multiplicative Weights Update NeurIPS 2022 Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model NeurIPS 2022 No Weighted-Regret Learning in Adversarial Bandits with Delays JMLR 2022