mean field game

Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games ICML 2023 Population-size-Aware Policy Optimization for Mean-Field Games ICLR 2023 Two-Scale Gradient Descent Ascent Dynamics Finds Mixed Nash Equilibria of Continuous Games: A Mean-Field Perspective ICML 2023 A Mean-Field Game Approach to Cloud Resource Management with Function Approximation NeurIPS 2022 Decentralized Mean Field Games AAAI 2022 Deep Generalized Schrödinger Bridge NeurIPS 2022 Generalization in Mean Field Games by Learning Master Policies AAAI 2022 Learning Graphon Mean Field Games and Approximate Nash Equilibria ICLR 2022 Provably convergent quasistatic dynamics for mean-field two-player zero-sum games ICLR 2022 Scalable Deep Reinforcement Learning Algorithms for Mean Field Games ICML 2022 Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning AISTATS 2021 Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time ICML 2021 Learning While Playing in Mean-Field Games: Convergence and Optimality ICML 2021 Mean Field Equilibrium in Multi-Armed Bandit Game with Continuous Reward IJCAI 2021 Mean Field Games Flock! The Reinforcement Learning Way IJCAI 2021 Reinforcement Learning for Mean Field Games with Strategic Complementarities AISTATS 2021 Signatured Deep Fictitious Play for Mean Field Games with Common Noise ICML 2021 Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games ICLR 2020 Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications NeurIPS 2020 On the Convergence of Model Free Learning in Mean Field Games AAAI 2020 Learning Mean-Field Games NeurIPS 2019 Learning Deep Mean Field Games for Modeling Large Population Behavior ICLR 2018