{"total":17,"rows":[{"id":"2107.04050","title":"Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning","created":"2021-07-08","cited_by_count":38,"area":null},{"id":"2108.02731","title":"Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach","created":"2021-08-05","cited_by_count":28,"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":"2112.01280","title":"Learning Graphon Mean Field Games and Approximate Nash Equilibria","created":"2021-11-29","cited_by_count":28,"area":null},{"id":"2303.10257","title":"Recent Developments in Machine Learning Methods for Stochastic Control and Games","created":"2023-03-17","cited_by_count":24,"area":null},{"id":"2306.16208","title":"Continuous-time q-learning for mean-field control problems","created":"2023-06-28","cited_by_count":22,"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":"2301.06889","title":"Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State","created":"2023-01-13","cited_by_count":8,"area":null},{"id":"2104.14900","title":"Discrete-Time Mean Field Control with Environment States","created":"2021-04-30","cited_by_count":7,"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":"2306.17052","title":"Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning","created":"2023-06-29","cited_by_count":4,"area":null},{"id":"2603.09571","title":"An Optimal Control Approach To Transformer Training","created":"2026-03-10","cited_by_count":3,"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":"2405.13346","title":"Convergence of the Deep Galerkin Method for Finite State Mean Field Control Problems","created":"2024-05-22","cited_by_count":2,"area":null},{"id":"2410.08850","title":"Learning to Stop: Deep Learning for Mean Field Optimal Stopping","created":"2024-10-11","cited_by_count":1,"area":null},{"id":"2606.20356","title":"Robust $Q$-learning for mean-field control under Wasserstein uncertainty in common noise","created":"2026-06-18","cited_by_count":0,"area":null}],"next_cursor":null}