Overview

Multi-Agent Systems studies how multiple decision-makers interact when they share goals, compete for resources, or have only partial information about one another. Approaches include multi-agent reinforcement learning, game theory and formal verification, decentralized consensus and task allocation, and—more recently—LLM-agent teams organized through roles, workflows, debate, and shared memory. Researchers evaluate these methods in social dilemmas, cooperative robotics and swarms, reasoning and coding benchmarks, and operational settings, measuring success alongside cost, robustness, and fairness. A central open tension is that coordination can improve outcomes but also adds overhead and can spread shared errors, so its benefits depend on the task, communication structure, and agents involved.

Latest papers

CardsList

677 papers99 papers in the last four weeks, up 29% on the four weeks before. 0.6% of all new papers.

  1. Artificial collectives of specialists and generalists excel at different tasks

    Jun 18, 2026John Meluso, Laurent Hébert-Dufresne, Christoph Riedl +1Multi-Agent CoordinationMulti-Agent Collaboration

  2. Contagion Networks: Evaluator Preference Propagation in Multi-Agent LLM Systems

    Jun 18, 2026Zewen LiuMulti-Agent LLM SystemsLLM Agent Evaluation

  3. Beyond Global Replanning: Hierarchical Recovery for Cross-Device Agent Systems

    Jun 18, 2026Shu Yao, Yuhua Luo, Qian Long +7Hierarchical PlanningMulti-Agent Orchestration

  4. Optimal Order of Multi-Agent and General Many-Body Systems

    Jun 18, 2026Jake J. XiaDynamical SystemsMulti-Agent System Optimization

  5. Multi-Agent Transactive Memory

    Jun 18, 2026To Eun Kim, Xuhong He, Dishank Jain +3LLM Agent MemoryAgentic RAG

  6. SIGMA: Skill-Incidence Graphs for Compositional Multi-Agent Design

    Jun 18, 2026Kun Zeng, Yu Huo, Siyu Zhang +5Multi-Agent System OptimizationMulti-Agent Systems

  7. Skill-MAS: Evolving Meta-Skill for Automatic Multi-Agent Systems

    Jun 17, 2026Hehai Lin, Qi Yang, Chengwei QinLLM Agent Skill LearningMulti-Agent Systems

  8. On the Reliability of Networks of AI Agents: Density Evolution, Stopping Sets, and Architecture Optimization

    Jun 16, 2026Ehsan Aghazadeh, Hossein Pishro-NikAgent ReliabilityMulti-Agent Systems

  9. Intelligence Entropy Principle and the ADE Stability Engineering Framework

    Jun 16, 2026Dexing LiuAgent Failure AnalysisMulti-Agent LLM Systems

  10. A Neuro-Symbolic Approach to Strategy Synthesis for Strategic Logics

    Jun 16, 2026Marco Aruta, Vadim Malvone, Aniello Murano +2Formal VerificationMulti-Agent Systems

  11. Distributed General-Purpose Agent Networks: Architecture, Key Mechanisms, and Prototypes

    Jun 15, 2026Shengli Zhang, Deen Ma, Zibin Lin +1Multi-Agent CollaborationMulti-Agent Systems

  12. BARD-MARL: Byzantine-Agent Detection for Learned Communication in Multi-Agent Reinforcement Learning

    Jun 15, 2026Almond Kiruthu MurimiMulti-Agent SystemsMulti-Agent System Security

  13. CoAgent: Concurrency Control for Multi-Agent Systems

    Jun 13, 2026Hongtao Lyu, Dingyan Zhang, Mingyu Wu +2Multi-Agent LLM SystemsMulti-Agent Coordination

  14. How Task Structure Limits Multi-Agent Success: An Information-Theoretic Analysis

    Jun 11, 2026Shi Pan, Ming LuoMulti-Agent CollaborationMulti-Agent Systems

  15. The Illusion of Multi-Agent Advantage

    Jun 11, 2026Prathyusha Jwalapuram, Hehai Lin, Chuyuan Li +7AI Agent EvaluationAgent Evaluation

  16. MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems

    Jun 11, 2026Chejian Xu, Zhaorun Chen, Jingyang Zhang +5AI Agent Security BenchmarksShapley Value Attribution

  17. DARRMS -- An Efficient Algorithm for Dynamic Attention Radius in Resource-Constrained Multi-Agent Systems

    Jun 10, 2026Benjamin Alcorn, Eman HammadMulti-Agent CoordinationMulti-Agent Systems

  18. The Arbiter Agent: Continually Monitoring Multi-Agent Conversations to Detect Emergent Misalignment

    Jun 9, 2026Filippo Tonini, Federico Torrielli, Anton Danholt Lautrup +3AI Agent AuditingLLM Auditing

  19. XMedFusion: A Knowledge-Guided Multimodal Perception and Reasoning Framework for Autonomous Medical Systems

    Jun 8, 2026Hamza Riaz, Arham Haroon, Maha Baig +3Radiology Report GenerationRadiology VLMs

  20. LAEI: Layered Autonomous Edge Intelligence Framework for Robust UAV Swarm Operations

    Jun 8, 2026Changmin Park, Wooyong Jung, Hwangnam KimAerial RoboticsSwarm Robotics

  21. A multi-agent system for spine MRI report generation from multi-sequence imaging

    Jun 8, 2026Zhiping Xiao, Junwei Yang, Gongbo Sun +12Radiology Report GenerationMedical Imaging Foundation Models

  22. PerspectiveGap: A Benchmark for Multi-Agent Orchestration Prompting

    Jun 7, 2026Youran Sun, Xingyu Ren, Kejia Zhang +2Multi-Agent OrchestrationLLM Agent Evaluation