nash equilibrium

Open problem: Convergence of single-timescale mean-field Langevin descent-ascent for two-player zero-sum games COLT 2024 Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property AAAI 2024 Optimizing Prosumer Policies in Periodic Double Auctions Inspired by Equilibrium Analysis IJCAI 2024 Policy Space Response Oracles: A Survey IJCAI 2024 Provable Memory Efficient Self-Play Algorithm for Model-free Reinforcement Learning ICLR 2024 Provable Policy Gradient Methods for Average-Reward Markov Potential Games AISTATS 2024 Reinforcement Nash Equilibrium Solver IJCAI 2024 Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula ICLR 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 Equilibrium Learning of VAEs AISTATS 2024 Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems ICLR 2024 The Attractor of the Replicator Dynamic in Zero-Sum Games ALT 2024 The Complexity of Computing Robust Mediated Equilibria in Ordinal Games AAAI 2024 The Complexity of Optimizing Atomic Congestion AAAI 2024 Toward Optimal Policy Population Growth in Two-Player Zero-Sum Games ICLR 2024 Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models NeurIPS 2024 Two-Sided Facility Location Games IJCAI 2024 Unravelling in Collaborative Learning NeurIPS 2024 $O(T^{-1})$ Convergence of Optimistic-Follow-the-Regularized-Leader in Two-Player Zero-Sum Markov Games ICLR 2023 Abstracting Imperfect Information Away from Two-Player Zero-Sum Games ICML 2023 An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games AAAI 2023 Anticipatory Fictitious Play IJCAI 2023 Asynchronous Gradient Play in Zero-Sum Multi-agent Games ICLR 2023 Block-Coordinate Methods and Restarting for Solving Extensive-Form Games NeurIPS 2023