{"total":38,"rows":[{"id":"2102.01585","title":"Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning","created":"2021-02-02","cited_by_count":73,"area":null},{"id":"2106.03787","title":"Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint","created":"2021-06-07","cited_by_count":56,"area":null},{"id":"2203.11973","title":"Scalable Deep Reinforcement Learning Algorithms for Mean Field Games","created":"2022-03-22","cited_by_count":38,"area":null},{"id":"2103.00623","title":"Scaling up Mean Field Games with Online Mirror Descent","created":"2021-02-28","cited_by_count":32,"area":null},{"id":"2105.07933","title":"Mean Field Games Flock! The Reinforcement Learning Way","created":"2021-05-17","cited_by_count":31,"area":null},{"id":"2109.09717","title":"Generalization in Mean Field Games by Learning Master Policies","created":"2021-09-20","cited_by_count":28,"area":null},{"id":"2212.14449","title":"Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games","created":"2022-12-29","cited_by_count":26,"area":null},{"id":"2106.13755","title":"Reinforcement Learning for Mean Field Games, with Applications to Economics","created":"2021-06-25","cited_by_count":15,"area":null},{"id":"2209.03859","title":"A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning","created":"2022-09-08","cited_by_count":14,"area":null},{"id":"2209.03880","title":"Learning Sparse Graphon Mean Field Games","created":"2022-09-08","cited_by_count":14,"area":null},{"id":"2305.11283","title":"On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation","created":"2023-05-18","cited_by_count":14,"area":null},{"id":"2106.03272","title":"Signatured Deep Fictitious Play for Mean Field Games with Common Noise","created":"2021-06-06","cited_by_count":12,"area":null},{"id":"2307.09470","title":"Multi-Player Zero-Sum Markov Games with Networked Separable Interactions","created":"2023-07-13","cited_by_count":10,"area":null},{"id":"2310.08089","title":"Learning Regularized Monotone Graphon Mean-Field Games","created":"2023-10-12","cited_by_count":9,"area":null},{"id":"2307.06175","title":"Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior","created":"2023-07-12","cited_by_count":7,"area":null},{"id":"2208.10138","title":"Learning Correlated Equilibria in Mean-Field Games","created":"2022-08-22","cited_by_count":6,"area":null},{"id":"2304.01547","title":"Regularization of the policy updates for stabilizing Mean Field Games","created":"2023-04-04","cited_by_count":5,"area":null},{"id":"2405.08005","title":"Graphon Mean Field Games with a Representative Player: Analysis and Learning Algorithm","created":"2024-05-08","cited_by_count":5,"area":null},{"id":"2408.08192","title":"Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation","created":"2024-08-15","cited_by_count":5,"area":null},{"id":"2303.02957","title":"Primal and Dual Analysis of Entropic Fictitious Play for Finite-sum Problems","created":"2023-03-06","cited_by_count":4,"area":null},{"id":"2303.10665","title":"Major-Minor Mean Field Multi-Agent Reinforcement Learning","created":"2023-03-19","cited_by_count":4,"area":null},{"id":"2107.00839","title":"Exploration noise for learning linear-quadratic mean field games","created":"2021-07-02","cited_by_count":3,"area":null},{"id":"2209.03887","title":"Mean Field Games on Weighted and Directed Graphs via Colored Digraphons","created":"2022-09-08","cited_by_count":3,"area":null},{"id":"2302.03364","title":"Population-size-Aware Policy Optimization for Mean-Field Games","created":"2023-02-07","cited_by_count":3,"area":null},{"id":"2401.12686","title":"Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach","created":"2024-01-23","cited_by_count":3,"area":null},{"id":"2209.10958","title":"Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments","created":"2022-09-22","cited_by_count":2,"area":null},{"id":"2312.10787","title":"Learning Discrete-Time Major-Minor Mean Field Games","created":"2023-12-17","cited_by_count":2,"area":null},{"id":"2405.03718","title":"A Single Online Agent Can Efficiently Learn Mean Field Games","created":"2024-05-05","cited_by_count":2,"area":null},{"id":"2408.15173","title":"Exploiting Approximate Symmetry for Efficient Multi-Agent Reinforcement Learning","created":"2024-08-27","cited_by_count":2,"area":null},{"id":"2505.22781","title":"Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games","created":"2025-05-28","cited_by_count":2,"area":null},{"id":"2307.07911","title":"MESOB: Balancing Equilibria & Social Optimality","created":"2023-07-16","cited_by_count":1,"area":null},{"id":"2503.10186","title":"Convergence and Connectivity: Dynamics of Multi-Agent Q-Learning in Random Networks","created":"2025-03-13","cited_by_count":1,"area":null},{"id":"2302.08190","title":"Reimagining Demand-Side Management with Mean Field Learning","created":"2023-02-16","cited_by_count":0,"area":null},{"id":"2306.02766","title":"Networked Communication for Decentralised Agents in Mean-Field Games","created":"2023-06-05","cited_by_count":0,"area":null},{"id":"2408.11607","title":"Networked Communication for Mean-Field Games with Function Approximation and Empirical Mean-Field Estimation","created":"2024-08-21","cited_by_count":0,"area":null},{"id":"2410.05127","title":"Last Iterate Convergence in Monotone Mean Field Games","created":"2024-10-07","cited_by_count":0,"area":null},{"id":"2411.07099","title":"Bounded Rationality Equilibrium Learning in Mean Field Games","created":"2024-11-11","cited_by_count":0,"area":null},{"id":"2605.11042","title":"Towards Model-Free Learning in Dynamic Population Games: An Application to Karma Economies","created":"2026-05-11","cited_by_count":0,"area":null}],"next_cursor":null}