markov game

Approximating Nash Equilibria in Finite-Horizon Multi-Adversarial Team Markov Games UAI 2026 Convergence of Fast Policy Iteration in Markov Games and Robust MDPs AAAI 2026 Finite-Sample Regret Analysis of Nash Q-Learning with Random-Feature Approximation UAI 2026 Learning in Zero-Sum Markov Games: Relaxing Strong Reachability and Mixing Time Assumptions AAAI 2026 Near Optimal Convergence to Coarse Correlated Equilibrium in General-Sum Markov Games L4DC 2026 Online Learning for Uninformed Markov Games: Empirical Nash-Value Regret and Non-Stationarity Adaptation COLT 2026 Regret Minimization with Adaptive Opponents in Repeated Games COLT 2026 Robust Constrained Markov Games: Multi-Agent Decision-Making under Model Uncertainty and Constraints UAI 2026 Anyprefer: An Agentic Framework for Preference Data Synthesis ICLR 2025 Anytime-Constrained Equilibria in Polynomial Time ICML 2025 Approximate State Abstraction for Markov Games AAAI 2025 Decoding Rewards in Competitive Games: Inverse Game Theory with Entropy Regularization ICML 2025 Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games ICML 2025 Learning Nash Equilibrium of Markov Potential Games with a Shared Constraint via Primal-Dual Optimization AAAI 2025 Policy-Regret Minimization in Markov Games with Function Approximation ICML 2025 Tractable Multi-Agent Reinforcement Learning through Behavioral Economics ICLR 2025 $\rm E(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning ICML 2024 Õ(T^-1) Convergence to (coarse) correlated equilibria in full-information general-sum Markov games L4DC 2024 A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning ICLR 2024 Assume-Guarantee Reinforcement Learning AAAI 2024 Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games AISTATS 2024 Corruption-Robust Offline Two-Player Zero-Sum Markov Games AISTATS 2024 Data Poisoning to Fake a Nash Equilibria for Markov Games AAAI 2024 Differentially Private Reinforcement Learning with Self-Play NeurIPS 2024 Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization JMLR 2024