Decentralized MARL

MARL: Multi-Agent Reinforcement Learning

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13 papers in the last four weeks, up 333% on the four weeks before. 0.1% of all new papers.

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  1. Decentralized Multi-agent Reinforcement Learning for Resilient Critical Infrastructures

    Jul 20, 2026Minghui Ding, Evangelos PournarasMulti-Agent CoordinationCredit Assignment in RL

    School of Computer Science, University of Leeds, Leeds, UK

  2. CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination

    Jul 10, 2026Jiyue Tao, Shunheng Xin, Tongsheng Shen +2Multi-Agent CoordinationMulti-Robot Coordination

    Robotics and Control Laboratory, School of Advanced Manufacturing and Robotics, and the State Key Laboratory of Turbulence and Complex Systems, Peking University, Beijing, 100871, China · National Innovation Institute of Defense Technology, Beijing 100071, China

  3. Dec-MARVEL: Decentralized Multi-Agent Exploration without Communication under Budget Constraints

    Jul 10, 2026Janghyun Cho, Jimmy Chiun, Guillaume Sartoretti +1Aerial RoboticsMulti-Robot Exploration

    1Dept. of Artificial Intelligence, Sogang University. · 2Dept. of Mechanical Engineering, College of Design and Engineering, National University of Singapore. · 3Dept. of Electronic Engineering, Sogang University.

  4. Smart charging of large fleets of Electric Vehicles: Independent Multi-Agent Reinforcement Learning approaches

    Jun 30, 2026Xavier Rate, Eloann Le Guern, Raphaël Féraud +8Multi-Agent CoordinationElectric Vehicle Charging

    Orange · ENS Rennes · IMT Atlantique +1

  5. HyPOLE: Hyperproperty-Guided Multi-Agent Reinforcement Learning under Partial Observation

    Jun 29, 2026Arshia Rafieioskouei, Tzu-Han Hsu, Matthew Lucas +1Reinforcement LearningPartially Observable RL

    Department of Computer Science and Engineering, Michigan State University, MI, USA.

  6. Sampling-Based Coordination-Informed Multi-Objective Multi-Robot Reinforcement Learning

    Jun 29, 2026Antonio Marino, Esteban Restrepo, Soon-jo Chung +2Multi-Objective Reinforcement LearningMulti-Robot Coordination

    University of Cambridge · CNRS, Univ Rennes, Inria, IRISA · Division of Engineering and Applied Science, California Institute of Technology

  7. ACPO: Agent-Chained Policy Optimization for Multi-Agent Reinforcement Learning

    Jun 29, 2026Daiki E. Matsunaga, Junho Na, Tri Wahyu Guntara +4Multi-Agent System OptimizationMulti-Agent Coordination

    1KAIST · 2KRAFTON · University of Toronto +2

  8. Decentralized Autonomous Traffic Management through Corridor Networks

    Jun 22, 2026Jasmine Jerry Aloor, Aadarsh Govada, Hamsa BalakrishnanAir Traffic ManagementIntelligent Transportation Systems

    Department of Aeronautics and Astronautics · Massachusetts Institute of Technology · Cambridge, MA, USA +2

  9. Asymmetric physics enables efficient learning in quadrupedal robot swarms

    Jun 22, 2026Yuang Zhang, Yunlong Song, Zhihao He +7Multi-Robot SystemsSwarm Robotics

    Shanghai Jiao Tong University, Shanghai, China. · Independent Researcher.

  10. Contract-Based Compositional Shielding for Safe Multi-Agent Reinforcement Learning

    Jun 12, 2026Omar Adalat, Edwin Hamel-De le Court, Francesco BelardinelliMulti-Agent CoordinationFormal Verification

    Imperial College London, London SW7 2AZ, UK · University of Manchester, Manchester M13 9PL, UK

  11. CCKS: Consensus-based Communication and Knowledge Sharing

    Jun 10, 2026Jinyuan Zu, Xiaowei Lv, Yongcai Wang +5Multi-Agent ConsensusDecentralized MARL

    School of Information, Renmin University of China, Beijing 100872, China · State Key Laboratory of Multimodal Artificial Intelligence Systems, Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China · The Information Science Academy, China Electronics Technology Group Corporation, Beijing 100043, China +1

  12. Network Distributed Multi-Agent Reinforcement Learning for Consensus Control of Quadcopters

    Jun 1, 2026Youssef Mahran, Zeyad Gamal, Aamir Ahmad +1Multi-Agent ControlQuadrotor Control

    Mechatronics Engineering Department, German University in Cairo (GUC), Egypt · Institute of Flight Mechanics and Control (IFR), Head of Flight Robotics, University of Stuttgart, Germany · Faculty of EMS, Head of Mechatronics Engineering Department, German University in Cairo (GUC), Egypt

  13. KISS: Keeping it Simple and Slotted when Learning to Communicate over Wireless

    May 29, 2026Kamil Szczech, Maksymilian Wojnar, Krzysztof Rusek +2Wireless CommunicationsWireless Resource Allocation

    AGH University of Krakow, Poland

  14. Scalable Constrained Multi-Agent Reinforcement Learning via State Augmentation and Consensus for Separable Dynamics

    May 28, 2026Santiago Amaya-Corredor, Miguel Calvo-Fullana, Anders JonssonMulti-Agent System OptimizationMulti-Agent Coordination

    Department of Engineering, University Pompeu Fabra

  15. SCALE-COMM: Shared, Contrastively-Aligned Latent Embeddings for MARL Communication

    May 26, 2026Mahmoud Abouelyazid, Eman HammadMulti-Robot CoordinationDecentralized MARL

    Electrical and Computer Engineering Department Texas A&M University, College Station, TX, USA

  16. Micro-Swarm Locomotion Optimization in Dynamic Flow using Multi-Objective Multi-Agent Reinforcement Learning

    May 24, 2026Josef Berman, Oren GalMulti-Objective Reinforcement LearningMulti-Agent System Optimization

    The Hatter Department of Marine Technologies, Leon H. Charney School of Marine Sciences, University of Haifa, Israel.

  17. Decoupling Communication from Policy: Robust MARL under Bandwidth Constraints

    May 20, 2026Alexi Canesse, Benoît Goupil, Jesse Read +1Decentralized MARLMulti-Agent Communication

    École polytechnique (LIX), CNRS, Institut Polytechnique de Paris, Palaiseau, France

  18. Learning to Hand Off: Provably Convergent Workflow Learning under Interface Constraints

    May 18, 2026Jiayu Li, Enpei Zhang, Dawei Zhou +2Sequential MARLSequential Decision Making

    Stern School of Business · New York University · Department of Computer Science +2

  19. Distributed Zeroth-Order Policy Gradient for Networked Multi-agent Reinforcement Learning from Human Feedback

    May 15, 2026Pengcheng Dai, He Wang, Dongming Wang +2Policy GradientDecentralized MARL

    Singapore University of Technology and Design, Singapore 487372, Singapore · Southeast University, Nanjing 211189, China · University of California, Riverside, CA 92521, USA +2

  20. Task-Semantic Graph-Driven Distributed Agent Networking for Underwater Target Tracking

    May 15, 2026Shengchao Zhu, Guangjie Han, Chuan Lin +1Underwater RoboticsDecentralized MARL

    College of Computer Science and Software Engineering, Hohai University, Nanjing 210098, China · College of Information Science and Engineering, Hohai University, Changzhou 210013, China · Software College, Northeastern University, Shenyang 110819, China

  21. Quantum Advantage in Multi Agent Reinforcement Learning

    May 14, 2026Simranjeet Singh Dahia, Claudia SzaboDecentralized MARLQuantum RL

    Adelaide University, Australia

  22. Priority-Driven Control and Communication in Decentralized Multi-Agent Systems via Reinforcement Learning

    May 11, 2026Qingyun Guo, Junyi Shi, Tomasz Piotr Kucner +1Agent Communication ProtocolsFeedback Control

    Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland · Center for Artificial Intelligence, Helsinki, Finland

  23. PC3D: Zero-Shot Cooperation Across Variable Rosters via Personalized Context Distillation

    May 11, 2026Ahmet Onur Akman, Rafał KucharskiZero-Shot LearningDecentralized MARL

    Doctoral School of Exact and Natural Sciences, Jagiellonian University, Kraków, Poland · Faculty of Mathematics and Computer Science, Jagiellonian University, Kraków, Poland

  24. Decentralized Diffusion Policy Learning for Enhanced Exploration in Cooperative Multi-agent Reinforcement Learning

    May 8, 2026Yuyang Zhang, Haldun Balim, Na LiDiffusion PolicyDecentralized MARL

    SEAS, Harvard University

  25. MEMOA: Massive Mixtures of Online Agents via Mean-Field Decentralized Nash Equilibria

    May 6, 2026Xuwei Yang, David B. Emerson, Fatemeh Tavakoli +1Nash EquilibriumFederated RL

    Department of Mathematics and Statistics McMaster University Ontario, Canada · Vector Institute Ontario, Canada

  26. Modular Reinforcement Learning For Cooperative Swarms

    May 6, 2026Erel Shtossel, Gal A. KaminkaMulti-Robot SystemsReinforcement Learning

    Bar Ilan University Ramat Gan, Israel

  27. Federated Reinforcement Learning for Efficient Mobile Crowdsensing under Incomplete Information

    May 4, 2026Sumedh J. Dongare, Patrick Weber, Andrea Ortiz +3Federated RLDecentralized MARL

    Communications Engineering Lab at the Technical University of Darmstadt, Germany · Chair of Information Systems and Information Management at the Goethe University Frankfurt, Germany · Institute of Telecommunications at the Vienna University of Technology, Austria

  28. A High-Throughput Compute-Efficient POMDP Hide-And-Seek-Engine (HASE) for Multi-Agent Operations

    Apr 29, 2026Timothy Flavin, Sandip SenHigh-Performance ComputingPartially Observable Markov Decision Processes

  29. GradMAP: Gradient-Based Multi-Agent Proximal Learning for Grid-Edge Flexibility

    Apr 27, 2026Yihong Zhou, Hongtai Zeng, Thomas MorstynMulti-Agent ControlConstrained RL

    Department of Engineering Science, University of Oxford

  30. Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning

    Apr 25, 2026Kanghoon Lee, Matthew M. Sato, Jinnyeong Yang +7Decentralized MARLCooperative Perception

    Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea · Stanford University, Stanford, CA, USA · University of California, Riverside (UCR), CA, USA