Overview

Multi-agent coordination studies how agents with partial information, different capabilities, or competing incentives can act together in settings such as robot teams, traffic networks, resource allocation, and language-model workflows. Common approaches include decentralized and centralized multi-agent reinforcement learning, game-theoretic planning, role and task assignment, and communication through messages, shared memory, or learned coordination policies. Recent work also develops orchestration protocols and benchmarks for language-model agents, measuring not just task success but information use, role adherence, safety, and coordination failures. A central tension is that communication and additional agents can improve complex teamwork but also introduce overhead, propagate errors, or make performance worse; individual reasoning ability alone does not guarantee effective cooperation.

Latest papers

CardsList

520 papers84 papers in the last four weeks, up 91% on the four weeks before. 0.5% of all new papers.

  1. Strategic Algorithmic Monoculture: Experimental Evidence from Coordination Games

    Apr 10, 2026Gonzalo Ballestero, Hadi Hosseini, Samarth Khanna +1Multi-Agent CoordinationMulti-Agent LLMs

  2. Decentralized Opinion-Integrated Decision making at Unsignalized Intersections via Signed Networks

    Apr 10, 2026Bhaskar Varma, Ying Shuai Quan, Karl D. von Ellenrieder +1Multi-Agent CoordinationIntelligent Transportation Systems

  3. C2^2T: Captioning-Structure and LLM-Aligned Common-Sense Reward Learning for Traffic--Vehicle Coordination

    Apr 10, 2026Yuyang Chen, Kaiyan Zhao, Yiming Wang +3Traffic Signal ControlMulti-Agent Coordination

  4. Multi-Agent Decision-Focused Learning via Value-Aware Sequential Communication

    Apr 10, 2026Benjamin Amoh, Geoffrey Parker, Wesley MarreroMulti-Agent CoordinationMulti-Agent Communication

  5. More Capable, Less Cooperative? When LLMs Fail At Zero-Cost Collaboration

    Apr 9, 2026Advait Yadav, Sid Black, Oliver SourbutMulti-Agent CoordinationMulti-Agent Collaboration

  6. Asynchronous Distributed Bandit Submodular Maximization under Heterogeneous Communication Delays

    Apr 7, 2026Pranjal Sharma, Zirui Xu, Vasileios TzoumasSubmodular OptimizationDistributed Optimization

  7. Strategic Delay and Coordination Efficiency in Global Games

    Apr 7, 2026Shinkyu Park, Behrouz Touri, Marcos M. VasconcelosMulti-Agent CoordinationImperfect-Information Games

  8. Governance-Constrained Agentic AI: Blockchain-Enforced Human Oversight for Safety-Critical Wildfire Monitoring

    Apr 5, 2026Ali Akarma, Toqeer Ali Syed, Salman Jan +2Human Oversight of AIAI Agent Governance

  9. High Volatility and Action Bias Distinguish LLMs from Humans in Group Coordination

    Apr 2, 2026Sahaj Singh Maini, Robert L. Goldstone, Zoran TiganjMulti-Agent CoordinationLLM Agents

  10. Auction-Based Online Policy Adaptation for Evolving Objectives

    Apr 2, 2026Guruprerana Shabadi, Kaushik MallikMulti-Objective Reinforcement LearningMulti-Agent Coordination

  11. Role Differentiation in a Coupled Resource Ecology under Multi-Level Selection

    Apr 1, 2026Siddharth Chaturvedi, Ahmed El-Gazzar, Marcel van GervenEmergent Behavior in Multi-Agent SystemsSocial Dilemmas

  12. Competition and Cooperation of LLM Agents in Games

    Apr 1, 2026Jiayi Yao, Cong Chen, Baosen ZhangLLM AgentsMulti-Agent LLM Systems

  13. CASCADE: Cascaded Scoped Communication for Multi-Agent Re-planning in Disrupted Industrial Environments

    Apr 1, 2026Mingjie BiMulti-Agent CoordinationMulti-Agent Planning

  14. Diffusion-Guided Cooperative Policy Learning for Target Tracking Based on Underwater Mobile Agent Networks

    Mar 31, 2026Jiaao Ma, Chuan Lin, Guangjie Han +3Cooperative MARLMulti-Robot Coordination

  15. Drop the Hierarchy and Roles: How Self-Organizing LLM Agents Outperform Designed Structures

    Mar 30, 2026Victoria DochkinaMulti-Agent SystemsMulti-Agent LLMs

  16. Distributed Online Submodular Maximization under Communication Delays: A Simultaneous Decision-Making Approach

    Mar 29, 2026Zirui Xu, Vasileios TzoumasSubmodular OptimizationMulti-Agent Coordination

  17. Toward Reliable Evaluation of LLM-Based Financial Multi-Agent Systems: Taxonomy, Coordination Primacy, and Cost Awareness

    Mar 29, 2026Phat Nguyen, Thang PhamMulti-Agent LLMsLLM Agent Evaluation

  18. Agents on a Tree: Pathwise Coordination for Multi-Objective Molecular Optimization

    Mar 27, 2026Jia Zhang, Tengfei Ma, Tianle Li +3Molecular OptimizationMulti-Objective Optimization

  19. CRAFT: Grounded Multi-Agent Coordination Under Partial Information

    Mar 26, 2026Abhijnan Nath, Hannah VanderHoeven, Nikhil KrishnaswamyMulti-Agent CoordinationMulti-Agent Communication

  20. Belief-Driven Multi-Agent Collaboration via Approximate Perfect Bayesian Equilibrium for Social Simulation

    Mar 26, 2026Weiwei Fang, Lin Li, Kaize Shi +2Multi-Agent CollaborationMulti-Agent Coordination

  21. COIN: Collaborative Interaction-Aware Multi-Agent Reinforcement Learning for Self-Driving Systems

    Mar 26, 2026Yifeng Zhang, Jieming Chen, Tingguang Zhou +4Centralized Training with Decentralized ExecutionMulti-Agent Coordination

  22. CoordLight: Learning Decentralized Coordination for Network-Wide Traffic Signal Control

    Mar 25, 2026Yifeng Zhang, Harsh Goel, Peizhuo Li +3Traffic Signal ControlMulti-Agent Coordination

  23. The Specification Gap: Coordination Failure Under Partial Knowledge in Code Agents

    Mar 25, 2026Camilo Chacón SartoriMulti-Agent CodingMulti-Agent Coordination

  24. Robust Distributed Cooperative Path-Following and Local Replanning for Multi-UAVs Under Differentiated Low-Altitude Paths

    Mar 25, 2026Zimao Sheng, Zirui Yu, Hong'an YangDistributed ControlUAV Navigation

  25. A Multimodal Framework for Human-Multi-Agent Interaction

    Mar 24, 2026Shaid Hasan, Breenice Lee, Sujan Sarker +1Human-Robot InteractionHuman-AI Interaction