Mean-Field MARL

MARL: Multi-Agent Reinforcement Learning

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10 papers0 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

  1. An Evolutionary Computation Framework for Multi-Agent Q-Learning with Mean-Field Environmental Feedback

    Sep 5, 2026Lichen Wang, Shijia Hua, Linjie LiuMean-Field MARLMulti-Agent Reinforcement Learning

    College of Science, Northwest A & F University, Yangling, 712100, China

  2. Towards Scaling Reinforcement Learning to Massive Populations: Learning Mean-Field Representations

    Aug 26, 2026Aditya Makkar, Benjamin Unger, Jeongyeol Kwon +3Mean-Field MARLReinforcement Learning

    New York University · ETH Zurich · Meta Platforms Inc. +1

  3. Mean Field Reinforcement Learning

    Jul 1, 2026René Carmona, Mathieu LaurièreReinforcement LearningQ-Learning

    Department of Operations Research and Financial Engineering & Program in Applied and Computational Mathematics, Princeton NJ 08544, USA · Shanghai Frontiers Science Center of Artificial Intelligence and Deep Learning; NYU-ECNU Institute of Mathematical Sciences at NYU Shanghai; NYU Shanghai, 567 West Yangsi Road, Shanghai, 200126, People’s Republic of China

  4. Mean-Field PhiBE: Continuous-Time Mean-Field Reinforcement Learning from Discrete-Time Data

    Jun 25, 2026Erhan Bayraktar, Martin Hernandez, Qinxin Yan +1Actor-Critic MethodsStochastic Optimal Control

    Department of Mathematics, University of Michigan, Ann Arbor, MI, USA. · Department of Statistics and Data Science, University of California, Los Angeles, CA, USA. · Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ, USA.

  5. Mean-Field Diffuser: Scaling Offline MARL to Thousands of Agents

    May 28, 2026Wenhao Li, Xiangfeng Wang, Bo JinMulti-Agent System OptimizationMean Field Games

    Tongji University · East China Normal University

  6. Learning Approximate Nash Equilibria in Cooperative Multi-Agent Reinforcement Learning via Mean-Field Subsampling

    Mar 4, 2026Emile Anand, Ishani KarmarkarMean-Field MARLReinforcement Learning

    Georgia Institute of Technology, Atlanta, GA · Stanford University, Palo Alto, CA

  7. Mean-Field Reinforcement Learning without Synchrony

    Feb 20, 2026Shan YangMean-Field MARLReinforcement Learning

    Department of Industrial Systems Engineering and Management, National University of Singapore, Singapore.

  8. Graphon Mean-Field Subsampling for Cooperative Heterogeneous Multi-Agent Reinforcement Learning

    Feb 18, 2026Emile Anand, Richard Hoffmann, Sarah Liaw +1Reinforcement LearningCooperative MARL

    School of Computer Science, Georgia Institute of Technology, Atlanta, GA, USA · Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, USA · Kempner Institute, Harvard University, Cambridge, MA, USA

  9. Learning Large-Scale Competitive Team Behaviors with Mean-Field Interactions

    Apr 29, 2025Bhavini Jeloka, Yue Guan, Panagiotis TsiotrasMean-Field MARLMulti-Agent Reinforcement Learning

    School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, USA

  10. Multi-Agent Reinforcement Learning-Based UAV Pathfinding for Obstacle Avoidance in Stochastic Environment

    Oct 25, 2023Qizhen Wu, Kexin Liu, Lei Chen +1Mean-Field MARLMulti-Agent Path Finding

    School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China. · Advanced Research Institute of Multidisciplinary Sciences and State Key Laboratory of CNS/ATM, Beijing Institute of Technology, Beijing 100081, China.