Multi-Agent Reinforcement Learning

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20 papers in the last 28 days · 0.3% of indexed attention

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Multi-Agent SystemsCoordinationMulti-Agent ReasoningGlobal CoordinationCooperationMulti-Agent CoordinationSingle-Agent

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Period ending 2026-09-21

9 new papers

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Period ending 2026-09-14

6 new papers

A weekly snapshot of new work published in Multi-Agent Reinforcement Learning.

Period ending 2026-09-07

2 new papers

A weekly snapshot of new work published in Multi-Agent Reinforcement Learning.

275 papers

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

    Jul 26, 2026Prachi Nandi, Madhuri Malakar, Sonakshi Satpathy +1Adaptive Traffic Signal ControlMulti-Agent Reinforcement Learning

  2. 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 +3Multi-Uav SystemsInternet Of Thing

  3. Predictive Lightweight MARL for Resilient Coverage in Sparse-Signaling Aerial Networks

    Jul 24, 2026Chuan-Chi Lai, Ang-Hsun TsaiUnmanned Aerial Vehicle SwarmsWireless Resource Allocation

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

    Jul 24, 2026Sreejeet Maity, Feng Zhu, Aritra Mitra +1Multi-Agent Reinforcement LearningValue Functions

  5. Compact Latent Coordination for Autonomous Vehicles at Unsignalized Intersections

    Jul 23, 2026Gil Lifshits, Igal Bilik, Gilad KatzMulti-Agent Reinforcement LearningAutonomous Driving

  6. Coordinating from Memory: Graph-Structured Experience Reuse for Multi-Agent Adaptation in Dynamic Manufacturing

    Jul 22, 2026Chengxiao Dai, Zhanhui Lin, Zhaokun Yan +3Multi-Agent Reinforcement LearningGlobal Coordination

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

    Jul 22, 2026Taisuke Takayama, Naoto Yoshida, Tadahiro TaniguchiMulti-Agent Reinforcement LearningModel-Free Reinforcement Learning

  8. CHMAS: A Coupled Hierarchical Framework for Multi-Agent Reinforcement Learning

    Jul 21, 2026Dongming Wang, Jie Xu, Yanyu Zhang +1Multi-Agent Reinforcement LearningMulti-Agent Systems

  9. Comparative Study of Multi-Agent Actor-Critic Algorithms in Parameterized Action Reinforcement Learning

    Jul 21, 2026Ubayd Ali Bapoo, Clement N NyirendaMulti-Agent Reinforcement LearningSoft Actor-Critic

  10. Strategy-Following Multi-Agent Deep Reinforcement Learning Considering Control Strategies Provided to Other Agents

    Jul 21, 2026Yamato Takahagi, Gentoku Nakasone, Yoshinari Motokawa +1Multi-Agent Reinforcement LearningMulti-Agent Systems

  11. A Self-Evolving Default Action for Cooperative Tasks with Continuous Action Space

    Jul 21, 2026Shuangyao HuangMulti-Agent Reinforcement LearningAction Space

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

    Jul 20, 2026Dongming Wang, Pengcheng Dai, Wenwu Yu +1Multi-Agent Reinforcement LearningMarkov Decision Processes

  13. Aggregate in the Advantage, Not the Ratio: A Canonical-Form Analysis of Cooperative Multi-Agent Policy Optimization

    Jul 20, 2026Zijian Zhao, Sen LiMulti-Agent Reinforcement LearningTeam Formation

  14. PRIME: Plasticity Recovery in Multi-Agent Environments for UAV-Assisted Emergency Communication Networks

    Jul 20, 2026Wen Qiu, Zhiqiang He, Wei Zhao +1Multi-Agent Reinforcement LearningPlasticity

  15. Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss

    Jul 20, 2026Kemal Devrim Kafadar, Eren Özaltun, Mahmud Efnan Şanlı +4Multi-Agent Reinforcement LearningMulti-Agent Coordination

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

    Jul 20, 2026Minghui Ding, Evangelos PournarasMulti-Agent Reinforcement LearningDecentralization

  17. Reinforcement Learning: From Algorithms To Foundation Models

    Jul 20, 2026Zihan DingMulti-Agent Reinforcement LearningVideo World Models

  18. Feedback Attribution and Representation Geometry: Metrics for Comparing Individual and Shared Rewards in MARL

    Jul 17, 2026Tasha Pais, Richard HigginsMulti-Agent Reinforcement LearningShared Rewards

  19. Task-Oriented Sensing and Covert Transmissions for Collaborative Multi-AUV Systems

    Jul 15, 2026Xueyao Zhang, Chenyang Yan, Bo Yang +6Autonomous Underwater VehiclesMulti-Uav Systems

  20. COLMAR: Cooperative View Policy Learning for Multi-Agent Active 3D Reconstruction

    Jul 15, 2026Phu Pham, Damon Conover, Aniket Bera3D ReconstructionMulti-Agent Reinforcement Learning

  21. Unveiling Complex Collective Behaviors from Simple Rewards

    Jul 14, 2026Yize Mi, Jianan Li, Liang Li +1Multi-Agent Reinforcement LearningSwarms

  22. Gradient-free learning of a closed-loop wall controller for turbulent drag reduction

    Jul 14, 2026Giorgio Maria Cavallazzi, Miguel Pérez Cuadrado, Alfredo PinelliTurbulenceClosed-Loop Control

  23. Multi-Agent Reinforcement Learning for C-V2X RAT Selection

    Jul 13, 2026Moritz Schaffenroth, Uwe Kölbel, Heike Lepke +2V2XMulti-Agent Reinforcement Learning

  24. Plug-and-Play Reweighting for Resilient Collaborative Decision-Making in Connected Autonomous Driving

    Jul 10, 2026Jiewen Liu, Rui Liu, Matthew Lee +3Collaborative PerceptionAutonomous Driving

  25. Beyond Bayesian Nash: Learning Minimax-Regret Equilibria for Adversarial Team Games under Asymmetric Information

    Jul 10, 2026Naman Aggarwal, Jonathan P. HowNash EquilibriumMinimax

  26. Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning

    Jul 10, 2026Edwin De Nicolo, Rahul Marchand, Cornelius Carlsson +2Multi-Agent Reinforcement LearningTuning

  27. Provably Optimal Learning Algorithms for Assistance Games

    Jul 9, 2026Nivasini Ananthakrishnan, Mark Bedaywi, Michael I. Jordan +2Multi-Agent Reinforcement LearningOptimal Policies

  28. Gimitest: A Comprehensive Tool for Testing Reinforcement Learning Policies

    Jul 8, 2026Dennis Gross, Quentin Mazouni, Helge Spieker +1Multi-Agent Reinforcement LearningFootsiesgym

  29. Embodied Human-Robot Interaction via Acoustics: A MARL Approach with AcoustoBots for Spatial Data Physicalization

    Jul 7, 2026Shiqi Liu, Narsimlu Kemsaram, Prateek Mittal +2Human-Robot InteractionEmbodied

  30. Multi-Agent Deep Reinforcement Learning for Multi Objective Battery Management in Dairy Farms

    Jul 7, 2026Marcos Eduardo Cruz Victorio, Karl MasonSmart GridsMulti-Agent Reinforcement Learning

  31. Delay-Aware Active Triangulation with Uncertainty-Driven Multi-Agent Reinforcement Learning for Counter-UAS

    Jul 7, 2026Seungwook Lee, David Hyunchul ShimMulti-Agent Reinforcement LearningSimultaneous Localization And Mapping

  32. Intercepting an Agile Target with Net-Carrying Drones using Competitive Multi-Agent Reinforcement Learning

    Jul 7, 2026Timothée Gavin, Murat BronzMulti-Agent Reinforcement LearningMulti-Drone Coordination

  33. Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids

    Jul 6, 2026Omar Al-Refai, Ibrahim Shahbaz, Adam Ali Husseinat +1Smart GridsFederated Reinforcement Learning

  34. Relational Multi-Agent Reinforcement Learning for Dynamic Pricing in High-Speed Railway Markets

    Jul 6, 2026Enrique Adrian Villarrubia-Martin, David Muñoz-Valero, Luis Rodriguez-Benitez +2Multi-Agent Reinforcement LearningPrices

  35. Integrated Altruistic and Fairness Preference Induces Advanced Mutual Cooperation in Sequential Social Dilemmas

    Jul 6, 2026Yu Wei, Yukiko Ogura, Yoshiyuki Ohmura +3CooperationMulti-Agent Reinforcement Learning

  36. Regime-Conditional Stabilisation of LLM-Augmented Cooperative Multi-Agent Reinforcement Learning

    Jul 5, 2026Faid Keddouri, Sohaib Houhou, Aissa Boulmerka +1Potential-Based Reward ShapingMulti-Agent Reinforcement Learning

  37. MUTE: Return-Preserving Communication Unlearning for Efficient Multi-Agent Coordination

    Jul 3, 2026Rui Zuo, Qinwei Huang, Mingyang Li +3Multi-Agent Reinforcement LearningMulti-Robot Systems

  38. Hierarchical Multi-Agent Reinforcement Learning for Carbon-Aware AI Data Centers in Power Distribution Systems

    Jul 3, 2026Hyunsoo Lee, Panggah Prabawa, Dae-Hyun Choi +1Artificial Intelligence Data CentersSmart Grids

  39. QFedAgent: Quantum-Enhanced Personalized Federated Learning for Multi-Agent Activity Recognition

    Jul 2, 2026Quoc Bao Phan, Tuy Tan NguyenFederated LearningMulti-Agent Reinforcement Learning

  40. Mean Field Reinforcement Learning

    Jul 1, 2026René Carmona, Mathieu LaurièreMean-Field LimitMulti-Agent Reinforcement Learning

  41. Simulation Based Reward Function Validation for Multi-Agent On Orbit Inspection

    Jul 1, 2026Patrick Quinn, Bala Prenith Reddy Gopu, George M. Nehma +1Multi-Agent Reinforcement LearningSpacecraft

  42. Distributed Multi Robot Lunar Cargo Transportation via Phase Decomposed Reinforcement Learning

    Jun 30, 2026Ashutosh Mishra, Elian Neppel, Shreya Santra +4Multi-Robot SystemsMulti-Agent Reinforcement Learning

  43. A Contextual-Bandit Oversight Game with Two-Sided Informational Asymmetry

    Jun 30, 2026Yunjin TongLinear Contextual BanditsBandits

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

    Jun 30, 2026Xavier Rate, Eloann Le Guern, Raphaël Féraud +8Electric VehiclesMulti-Agent Reinforcement Learning

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

    Jun 29, 2026Arshia Rafieioskouei, Tzu-Han Hsu, Matthew Lucas +1Multi-Agent Reinforcement LearningPartial Observability

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

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

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

    Jun 29, 2026Daiki E. Matsunaga, Junho Na, Tri Wahyu Guntara +4Multi-Agent Reinforcement LearningDecentralization

  48. Learned Coordination Conventions in Cooperative MARL: Measuring the Translation Gap Between Theory-Informed Roles and Learned Routing

    Jun 28, 2026Yoosung HongCoordinationGlobal Coordination

  49. HiComm: Hierarchical Communication for Multi-agent Reinforcement Learning

    Jun 28, 2026Runze Zhao, Dongruo Zhou, Sumit Kumar Jha +2Multi-Agent Reinforcement LearningCommunication

  50. IDEA: Insensitive to Dynamics Mismatch via Effect Alignment for Sim-to-Real Transfer in Multi-Agent Control

    Jun 25, 2026Chenlong Liu, Zhuohui Zhang, Xinyan Chen +3Zero-Shot Sim-To-Real TransferMulti-Agent Reinforcement Learning

  51. Multi-Agent Goal Recognition with Team- and Goal-Conditioned Reinforcement Learning and Factorized Branch-and-Bound

    Jun 24, 2026Thiago Thomas, Gabriel de Oliveira Ramos, Felipe MeneguzziMulti-Agent Reinforcement LearningMulti-Robot Systems

  52. Low Variance Trust Region Optimization with Independent Actors and Sequential Updates in Cooperative Multi-agent Reinforcement Learning

    Jun 24, 2026Bang Giang Le, Viet Cuong TaMulti-Agent Reinforcement LearningTrust Region

  53. Offline Multi-agent Continual Cooperation via Skill Partition and Reuse

    Jun 24, 2026Yuchen Xiao, Lei Yuan, Ruiqi Xue +2Unsupervised Skill DiscoveryMulti-Agent Reinforcement Learning

  54. Stagnant Neuron: Towards Understanding the Plasticity Loss in Multi-Agent Reinforcement Learning Value Factorization Methods

    Jun 24, 2026Zhengzhu Liu, Zeming Gao, Haoyuan Qin +7Multi-Agent Reinforcement LearningPlasticity

  55. GCT-MARL: Graph-Based Contrastive Transfer for Sample-Efficient Cooperative Multi-Agent Reinforcement Learning

    Jun 23, 2026Animesh Animesh, Satheesh K Perepu, Kaushik DeyMulti-Agent Reinforcement LearningIterative Co-Training

  56. ASALT: Adaptive State Alignment for Lateral Transfer in Multi-agent Reinforcement Learning

    Jun 23, 2026Anurag Akula, Satheesh K. Perepu, Abhishek Sarkar +1Multi-Agent Reinforcement LearningState Space

  57. Towards Scalable Multi-Task Reinforcement Learning with Large Decision Models

    Jun 23, 2026Thibaut KulakMulti-Task Reinforcement LearningMulti-Agent Reinforcement Learning

  58. Safe and Generalizable Hierarchical Multi-Agent RL via Constraint Manifold Control

    Jun 22, 2026Zihao Guo, Jianing Zhao, Ling Li +3Multi-Agent Reinforcement LearningSafety Constraints

  59. Decentralized Autonomous Traffic Management through Corridor Networks

    Jun 22, 2026Jasmine Jerry Aloor, Aadarsh Govada, Hamsa BalakrishnanAir Traffic ControlMulti-Agent Reinforcement Learning

  60. Dynamic multi-agent deep reinforcement learning-based pricing and incentivization approach in multimodal transportation networks

    Jun 22, 2026Khadidja Kadem, Mostafa Ameli, Carlos Lima Azevedo +2Multi-Agent Reinforcement LearningIncentives