{"total":26,"rows":[{"id":"2109.04024","title":"On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)","created":"2021-09-09","cited_by_count":32,"area":null},{"id":"2306.12371","title":"Optimistic Active Exploration of Dynamical Systems","created":"2023-06-21","cited_by_count":32,"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":"2306.16208","title":"Continuous-time q-learning for mean-field control problems","created":"2023-06-28","cited_by_count":22,"area":null},{"id":"2310.19848","title":"Efficient Exploration in Continuous-time Model-based Reinforcement Learning","created":"2023-10-30","cited_by_count":22,"area":null},{"id":"2203.07322","title":"Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation","created":"2022-03-14","cited_by_count":14,"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":"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":"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":"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":"2203.00035","title":"Can Mean Field Control (MFC) Approximate Cooperative Multi Agent Reinforcement Learning (MARL) with Non-Uniform Interaction?","created":"2022-02-28","cited_by_count":6,"area":null},{"id":"2204.09418","title":"Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning","created":"2022-04-20","cited_by_count":6,"area":null},{"id":"2302.04376","title":"Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning","created":"2023-02-08","cited_by_count":6,"area":null},{"id":"2311.18346","title":"Efficient Model-Based Concave Utility Reinforcement Learning through Greedy Mirror Descent","created":"2023-11-30","cited_by_count":6,"area":null},{"id":"2209.07437","title":"Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL)","created":"2022-09-15","cited_by_count":5,"area":null},{"id":"2209.03491","title":"On the Near-Optimality of Local Policies in Large Cooperative Multi-Agent Reinforcement Learning","created":"2022-09-07","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":"2306.17052","title":"Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning","created":"2023-06-29","cited_by_count":4,"area":null},{"id":"2310.17531","title":"Learning Regularized Graphon Mean-Field Games with Unknown Graphons","created":"2023-10-26","cited_by_count":4,"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":"2209.07420","title":"Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control","created":"2022-09-15","cited_by_count":1,"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":"2507.10142","title":"Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review","created":"2025-07-14","cited_by_count":1,"area":null},{"id":"2602.16196","title":"Graphon Mean-Field Subsampling for Cooperative Heterogeneous Multi-Agent Reinforcement Learning","created":"2026-02-18","cited_by_count":1,"area":null},{"id":"2509.15103","title":"Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning","created":"2025-09-18","cited_by_count":0,"area":null},{"id":"2602.12520","title":"Multi-Agent Model-Based Reinforcement Learning with Joint State-Action Learned Embeddings","created":"2026-02-13","cited_by_count":0,"area":null}],"next_cursor":null}