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. Multi-Agent Coordination via Support-Preserving Distillation

    Oct 7, 2026Sangmin Lee, Youngju Na, Chanmi Lee +1Multi-Agent CoordinationOffline MARL

    School of Computing, KAIST

  2. Independent Multi-Agent Reinforcement Learning with Counterfactual Semantic-Social World Models

    Oct 6, 2026Fernando Martinez, Tao Li, Yingdong Lu +1Sequential MARLAction-Conditioned World Models

    Department of Computer and Information Sciences, Fordham University, New York, NY, 10023, USA · Department of Systems Engineering, City University of Hong Kong, Hong Kong SAR, 999077, China · IBM Research, Yorktown Heights, NY, 10598, USA

  3. Foundation Model-Aided Multi-Agent Reinforcement Learning for Wireless Random Access Network Optimization

    Oct 6, 2026Myeung Suk Oh, Zhiyao Zhang, Alvaro Velasquez +2Wireless Resource AllocationDecentralized MARL

    The Ohio State University Columbus, Ohio, USA · University of Colorado Boulder Boulder, Colorado, USA · Pathfinder Applied Research, LLC Ashburn, Virginia, USA

  4. Visual Swarm Navigation via Deep Reinforcement Learning and Evolutionary Hybrid Design

    Oct 5, 2026Álvaro Díez, Fidel AznarSwarm RoboticsMulti-Robot Exploration

    Department of Computer Science and Artificial Intelligence, University of Alicante

  5. Taylor Representations for Model-Free RL in Networked MDPs

    Oct 4, 2026Salah Chikhi, Abdelhaq Chaoui, Asuman Ozdaglar +1Markov Decision ProcessesRepresentation Learning for RL

    Massachusetts Institute of Technology

  6. Fully Online Decentralized Learning in Stochastic Games with Unknown Independent Chains

    Oct 1, 2026S. Rasoul EtesamiGame TheoryOnline Mirror Descent

    Department of Industrial and Systems Engineering, Coordinated Science Laboratory University of Illinois Urbana-Champaign, Urbana, IL, USA 61801

  7. MASkillBlender: Decentralized Whole-Body Coordination for Multi-Humanoid Loco-Manipulation via Skill Blending

    Oct 1, 2026Yifan Hu, Luhang Hong, Mingkang Long +5Humanoid Loco-ManipulationReinforcement Learning

    Nanyang Technological University · Southeast University · Purple Mountain Laboratories

  8. VERA: Verifiable Feasibility Representations with Counterfactual Credit for Constrained Multi-Agent Control

    Sep 30, 2026Bo Yin, Dongbo Li, Hongkai Chen +2Multi-Agent ControlConstrained RL

    Harbin Institute of Technology, Harbin, China · The Chinese University of Hong Kong, Hong Kong SAR, China

  9. Physics-Informed Multi-Agent Coordination for Hospital Patient Flow Optimization

    Sep 29, 2026Guoqing Zhang, Rafik Hadfi, Takayuki ItoMulti-Agent CoordinationHealthcare

    Graduate School of Informatics, Kyoto University, Kyoto, Japan

  10. Fully Decentralized and Safety-Aware Multi-Agent Reinforcement Learning for Control on Networks

    Sep 28, 2026Theodore Rogalski, Shirantha WelikalaMulti-Agent ControlDecentralized MARL

    Electrical & Computer Engineering Department Stevens Institute of Technology Hoboken, USA

  11. ICMAPE: In-Context Multiagent Pure Exploration

    Sep 27, 2026Xinyi Hu, Alessio Russo, Aldo PacchianoRL ExplorationDecentralized MARL

    Boston University · Broad Institute of MIT and Harvard

  12. A Decentralized Partially Observable Team Decision Methodology with Delayed Information Sharing

    Sep 22, 2026Xiaoxing Ren, Thomas Parisini, Andreas A. MalikopoulosMarkov Decision ProcessesLinear Markov Decision Processes

    School of Civil and Environmental Engineering, Cornell University, Ithaca, NY, USA · Dept. of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, UK · Dept. of Electronic Systems, Aalborg University, Denmark +2

  13. Fully Byzantine-Resilient Multi-Agent Reinforcement Learning

    Sep 22, 2026Haejoon Lee, Dimitra PanagouDecentralized MARLActor-Critic Methods

    Robotics Department, University of Michigan, Ann Arbor, MI, USA

  14. CoRe-MARL: Cooperative Redistribution Under Unknown Dynamics Using Recurrent Multi-Agent Reinforcement Learning

    Sep 16, 2026Naimur Rahman Chowdhury, Shatabdi Sen Prapti, Md. Salehin Seyam +1Partially Observable RLMulti-Agent Systems

    Industrial and Systems Engineering, North Carolina State University, Raleigh, NC, United States · Department of Industrial and Production Engineering, Bangladesh University of Engineering and Technology, Dhaka, 1000, Bangladesh

  15. High-Probability Nash Regret for Decentralized Learning in Markov αα-Potential Games: Episodic and Fully Online Asynchronous Algorithms with Applications to Markov Congestion Games

    Sep 14, 2026S. Rasoul EtesamiPolicy GradientAsynchronous RL

    Department of Industrial and Systems Engineering Coordinated Science Laboratory University of Illinois Urbana-Champaign, Urbana, IL, USA

  16. Decentralized Safe Multi-Agent Reinforcement Learning via Predictive Shielding

    Sep 7, 2026Yacine El Yamani, Hanna Krasowski, Elena VanneauxMulti-Robot CoordinationRobot Safety

    ENSTA, IP Paris, Palaiseau, France · UC Berkeley, USA

  17. SMaRT-Tug: Structured Multi-Agent Reinforcement Learning for Physics-Based Tugboat-Barge Collaborative Manipulation

    Sep 7, 2026Junkai Lu, Jiadong Zhao, Jiacheng Zhang +8Multi-Agent CoordinationMulti-Agent Control

    National University of Singapore Singapore, Singapore · ST Engineering Unmanned & Integrated Systems Pte. Ltd. Singapore, Singapore

  18. Independent Reinforcement Learning in Discounted Markov Games

    Sep 1, 2026Asrin Efe Yorulmaz, Ugur Aydin, Tamer BasarReinforcement LearningGame Theory

    Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA

  19. Decentralized Multi-Player Q-Learning in Episodic Markov Decision Processes with Information Asymmetry

    Aug 13, 2026Larissa Xu, King Bi, William ChangRegret Minimization in RLReinforcement Learning

    Department of Mathematics University of California, Los Angeles Los Angeles, USA · Department of Computer Science University of California, Los Angeles Los Angeles, USA

  20. Coordinating the Unknown Lipschitz Constant in Multiplayer Bandits

    Aug 11, 2026Ricardo Parada, Chenzhang Zhao, William ChangMulti-Armed BanditsMulti-Agent Coordination

    University of California, Riverside Riverside, CA, USA · University of California, Los Angeles Los Angeles, CA, USA

  21. Multi-Agent Reinforcement Learning via Agent-Specific Preference

    Aug 9, 2026Ni Mu, Yao Luan, Yiqin Yang +1Decentralized MARLCooperative MARL

    CFINS, Department of Automation, BNRist, Beijing Key Laboratory of Embodied Intelligence Systems, Institute for Embodied Intelligence and Robotics, Tsinghua University, Beijing 100084, China · Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China

  22. A MARL Centered Reference Architecture for Large Language Model Augmentation in Smart Manufacturing

    Aug 7, 2026Fouad Bahrpeyma, Dirk ReicheltManufacturingDecentralized MARL

    Smart Production Systems, HTW Dresden, Saxony, Germany

  23. Joint UAV Flight and Opportunistic Routing under Reinforcement Learning for Delay-Tolerant Networks

    Aug 5, 2026Xiao Wang, Shun-Ren YangUAV Trajectory OptimizationDecentralized MARL

    Department of Computer Science and the Institute of Communications Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan

  24. FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs

    Aug 4, 2026Amin Farajzadeh, Melike Erol-KantarciFederated RL6G Networks

    School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON K1N 6N5, Canada · with the NETCORE Lab

  25. GNN-based Multi-Agent Control of Traffic Shockwaves in Sparse Vehicular Ad-hoc Networks

    Jul 26, 2026Prachi Nandi, Madhuri Malakar, Sonakshi Satpathy +1Multi-Agent ControlDecentralized MARL

    Microsoft · Dept. of Computer Science and Engineering GITAM University Bengaluru, Karnataka · NatWest Group +1

  26. TRUAV: Distributed Multi-Agent Reinforcement Learning for Trajectory Planning and Routing Enhancement in UAV-Aided IoT-Enabled VANETs

    Jul 26, 2026Muhammad Umar Farooq Qaisar, Lin Zhang, Zhen Chen +3UAV NavigationDecentralized MARL

    Hangzhou International Innovation Institute of Beihang University, Hangzhou 311115, China · Hangzhou International Innovation Institute of Beihang University, Hangzhou 311115, China, the School of Automation Science and Electrical Engineering at Beihang University, Beijing 100191, China, and the State Key Laboratory of Intelligent Manufacturing Systems Technology, Beijing 100854, China · School of Intelligent Science and Engineering and the School of Transportation, Southeast University, Nanjing 211189, China +3

  27. Variance-Reduced Q-Learning over Static and Time-Varying Networks

    Jul 24, 2026Sreejeet Maity, Feng Zhu, Aritra Mitra +1Reinforcement LearningQ-Learning

    Department of Electrical and Computer Engineering, North Carolina State University · Department of Electrical and Computer Engineering, University of California San Diego, San Diego, USA

  28. Compact Latent Coordination for Autonomous Vehicles at Unsignalized Intersections

    Jul 23, 2026Gil Lifshits, Igal Bilik, Gilad KatzMulti-Agent CoordinationHierarchical RL

    Ben-Gurion University of the Negev

  29. Dreamer-CPC: Message Learning with World Models for Decentralized Multi-agent Reinforcement Learning

    Jul 22, 2026Taisuke Takayama, Naoto Yoshida, Tadahiro TaniguchiPredictive CodingPartially Observable RL

    Graduate School of Informatics, Kyoto University, Kyoto, Japan · Research Organization of Science and Technology, Ritsumeikan University, Shiga, Japan

  30. Scalable Policy Optimization for Networked Multi-Agent Reinforcement Learning with Continuous State-Action Spaces

    Jul 20, 2026Dongming Wang, Pengcheng Dai, Wenwu Yu +1Multi-Agent ControlTemporal-Difference Learning

    Department of Electrical and Computer Engineering, University of California, Riverside, CA 92521, USA · Engineering Systems and Design Pillar, Singapore University of Technology and Design, Singapore 487372 · Frontiers Science Center for Mobile Information Communication and Security, School of Mathematics, Southeast University, Nanjing 211102, China +1

  31. 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

  32. 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

  33. 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.

  34. 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

  35. 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.

  36. 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

  37. 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

  38. 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

  39. 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.

  40. 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

  41. 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

  42. 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

  43. 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

  44. 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

  45. 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

  46. 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.

  47. 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

  48. 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

  49. 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

  50. 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

  51. Quantum Advantage in Multi Agent Reinforcement Learning

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

    Adelaide University, Australia

  52. 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

  53. 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

  54. 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

  55. 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

  56. Modular Reinforcement Learning For Cooperative Swarms

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

    Bar Ilan University Ramat Gan, Israel

  57. 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

  58. 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

  59. 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

  60. 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