{"total":27,"rows":[{"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":"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":"2208.04957","title":"Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution","created":"2022-08-09","cited_by_count":12,"area":null},{"id":"2210.03022","title":"Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning","created":"2022-10-04","cited_by_count":10,"area":null},{"id":"2412.00661","title":"Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning","created":"2024-12-01","cited_by_count":9,"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":"2307.13957","title":"Heterogeneous Embodied Multi-Agent Collaboration","created":"2023-07-26","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":"2203.16223","title":"Hypergraphon Mean Field Games","created":"2022-03-30","cited_by_count":3,"area":null},{"id":"2208.04777","title":"Learning Mean-Field Control for Delayed Information Load Balancing in Large Queuing Systems","created":"2022-08-09","cited_by_count":2,"area":null},{"id":"2603.03759","title":"Learning Approximate Nash Equilibria in Cooperative Multi-Agent Reinforcement Learning via Mean-Field Subsampling","created":"2026-03-04","cited_by_count":2,"area":null},{"id":"2208.07753","title":"A Policy Resonance Approach to Solve the Problem of Responsibility Diffusion in Multiagent Reinforcement Learning","created":"2022-08-16","cited_by_count":1,"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":"2405.13899","title":"Symmetric Linear Bandits with Hidden Symmetry","created":"2024-05-22","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":"2502.08119","title":"Generative AI-Enhanced Cooperative MEC of UAVs and Ground Stations for Unmanned Surface Vehicles","created":"2025-02-12","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":"2403.18057","title":"Prioritized League Reinforcement Learning for Large-Scale Heterogeneous Multiagent Systems","created":"2024-03-26","cited_by_count":0,"area":null},{"id":"2505.06706","title":"Bi-level Mean Field: Dynamic Grouping for Large-Scale MARL","created":"2025-05-10","cited_by_count":0,"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}],"next_cursor":null}