Multi-Agent Systems

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Multi-Agent Systems

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Multi-Agent Reinforcement Learning

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Coordination

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Multi-Agent Reasoning

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Cooperation

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Single-Agent

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1,086 papers

Latest in Multi-Agent Systems

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AutoDFT: A Closed-Loop Multi-Agent Framework for Autonomous DFT Calculations
May 25, 2026Penghui Yang, Zhonghan Zhang, Yue Li +6Density Functional Theory First-Principles Calculation
HyLaT: Efficient Multi-Agent Communication via Hybrid Latent-Text Protocol
May 25, 2026Xinyi Mou, Siyuan Wang, Zejun Li +2Multi-Agent Large Language Model Multi-Agent Systems
Evo-Attacker: Memory-Augmented Reinforcement Learning for Long-Horizon Tool Attacks on LLM-MAS
May 25, 2026Bingyu Yan, Xiaoming Zhang, Jinyu Hou +4Language Model Evasion Attacks Transferable Attack
Recursive Multi-Agent Trading System: Iterative Optimized Portfolio Strategy Under Geopolitical Uncertainty
May 25, 2026Jing Yang, Yichao Wu, Jianan Liu +4Multi-Agent Systems Portfolio Optimization
Meta-Agent: From Task Descriptions to Verified Multi-Agent Systems
May 24, 2026Andy Xu, Yu-Wing TaiMulti-Agent Systems Verifier
DarkForest: Less Talk, Higher Accuracy for Multi-Agent LLMs
May 24, 2026Yi Li, Songtao Wei, Dongming Jiang +3Multi-Agent Large Language Model Multi-Agent Large Language Model Systems
Evolutionary Enhanced Multi-Agent Reinforcement Learning for Cooperative Air Combat
May 24, 2026Chengwei Li, Junlin Liu, Yang GaoMulti-Agent Reinforcement Learning Multi-Agent Evolution
Micro-Swarm Locomotion Optimization in Dynamic Flow using Multi-Objective Multi-Agent Reinforcement Learning
May 24, 2026Josef Berman, Oren GalFluidic Transport Swarms
Scaling up Energy-Aware Multi-Agent Reinforcement Learning for Mission-Oriented Drone Networks with Individual Reward
May 24, 2026Changling Li, Ying LiMulti-Drone Coordination Multi-Agent Reinforcement Learning
Towards Multi-Turn Dialog Systems for Industrial Asset Operations and Maintenance
May 24, 2026Chengrui Li, Rujing Li, Yitong Bai +1Multi-Turn Tool-Use Agent Multi-Agent Systems
Agent Manufacturing: Foundation-Model Agents as First-Class Industrial Entities
May 24, 2026Yilei ZhangMulti-Agent Systems Cognitive Science
PRIMA: Operational Patterns for Resilient Multi-Agent Research with Verifiable Identity and Convergent Feedback
May 23, 2026Sasank AnnapureddyMulti-Agent Systems Resilience
Spectral Retrieval: Multi-Scale Sinc Convolution over Token Embeddings for Localized Retrieval in LLM Multi-Agent Systems
May 23, 2026Andrea MorandiMulti-Agent Systems
Adaptive Punishment for Cooperation in Mixed-Motive Games
May 23, 2026Min Tang, Fanqi Kong, Linyuan Lü +1Cooperation Penalties
Benchmarking the Limits of In-Context Reinforcement Learning for Ad-Hoc Teamwork
May 23, 2026Yuheng Jing, Kai Li, Ziwen Zhang +8Single-Agent Large-Scale Benchmark
Partner-Aware Hierarchical Skill Discovery for Robust Human-AI Collaboration
May 23, 2026Adnan Ahmad, Bahareh Nakisa, Mohammad Naim RastgooHuman-Ai Collaboration Unsupervised Skill Discovery
When Does Multi-Agent RL Improve LLM Workflows? Workflow, Scale, and Policy-Sharing Tradeoffs
May 22, 2026Yifan Zeng, Yiran Wu, Yaolun Zhang +4Multi-Agent Large Language Model Systems Multi-Agent Reinforcement Learning
Understanding Conversational Patterns in Multi-agent Programming: A Case Study on Fibonacci Game Development
May 22, 2026Srijita Basu, Viktor Kjellberg, Simin Sun +5Multi-Agent Systems Collaboration
CHRONOS: Temporally-Aware Multi-Agent Coordination for Evolving Data Marketplaces
May 22, 2026Joydeep ChandraTemporal Knowledge Graphs Differential Privacy
ARMS: Automatic Reward Shaping for Sparse-Reward Multi-Agent Reinforcement Learning
May 22, 2026Elie Abboud, Oren GalMulti-Agent Reinforcement Learning Potential-Based Reward Shaping
When Planning Fails Despite Correct Execution: On Epistemic Calibration for LLM-Based Multi-Agent Systems
May 22, 2026Zehao Wang, Shilong Jin, Zhao Cao +1Multi-Agent Systems Planning Methods
Heterogeneous Multi-Agent Modeling for Measurement and Network Analysis of the Data Service Market
May 22, 2026Deyu Zhou, Yuwei Guo, Xudong Lu +3Multi-Agent Systems Complex Networks
Self-Refining Topology Optimization via an LLM-Based Multi-Agent Framework
May 22, 2026Hyunjee Park, Hayoung ChungTopology Optimization Agentic Optimization
Foundation Protocol: A Coordination Layer for Agentic Society
May 22, 2026Bang Liu, Yongfeng Gu, Jiayi Zhang +26Governance Layer Protocol
CultivAgents: Cultivating Relationship-Centered Multi-Agent Systems for Personalized Gardening
May 22, 2026Yiyang Wang, Moeiini Reilly, Britney Johnson +3Multi-Agent Systems Ecosystems
PIMbot: A Self-Adaptive Attack Framework for Adversarial Manipulation of Multi-Robot Reinforcement Learning
May 21, 2026Zexin Li, Ziliang Zhang, Hyoseung Kim +1Multi-Robot Systems Multi-Agent Reinforcement Learning
How to Steer Your Multi-Agent System: Human-LLM Collaborative Planning
May 21, 2026Zeyu He, Hannah Kim, Dan Zhang +1Multi-Agent Systems Process-Level Supervision
LCGuard: Latent Communication Guard for Safe KV Sharing in Multi-Agent Systems
May 21, 2026Sadia Asif, Mohammad Mohammadi Amiri, Momin Abbas +2Multi-Agent Systems Guard
Superhuman Safe and Agile Racing through Multi-Agent Reinforcement Learning
May 21, 2026Ismail Geles, Leonard Bauersfeld, Markus Wulfmeier +1Multi-Agent Reinforcement Learning Multi-Robot Systems
Self-Evolving Multi-Agent Systems via Decentralized Memory
May 21, 2026Guangya Hao, Yunbo Long, Zhuokai ZhaoMulti-Agent Evolution Agent Memory
LACO: Adaptive Latent Communication for Collaborative Driving
May 21, 2026Tianhao Chen, Yuheng Wu, Dongman LeeAutonomous Driving Collaborative Perception
Incentive-Aligned Vehicle-to-Vehicle Energy Trading via Nash-Integrated Multi-Agent Reinforcement Learning
May 21, 2026Yujin Lin, Yue Yang, Hao WangElectric Vehicles Electricity Markets
Ratchet: A Minimal Hygiene Recipe for Self-Evolving LLM Agents
May 21, 2026Xing Zhang, Yanwei Cui, Guanghui Wang +4Skill Evolution Large Language Model Agents
One Sentence, One Drama: Personalized Short-Form Drama Generation via Multi-Agent Systems
May 21, 2026Yufei Shi, Weilong Yan, Naixuan Huang +5Multi-Agent Systems Cross-Modal Learning
Higher Order Reasoning for Collaborative Communicationless Mobile Robot Operations
May 21, 2026Jonathan Reasoner, Nicola BezzoMulti-Robot Systems Global Coordination
Secure Coordination for Vertiport Sequencing in Advanced Air Mobility
May 20, 2026Jaehan Im, Filippos Fotiadis, Ufuk Topcu +1Air Traffic Control Global Coordination
Learning Altruistic Collaboration in Heterogeneous Multi-Team Systems
May 20, 2026Riwa Karam, Ruoyu Lin, Brooks A. Butler +1Multi-Robot Systems Multi-Agent Coordination
Distributed Multi-Coverage for Robot Swarms
May 20, 2026Mariem Guitouni, Aaron T. BeckerUnmanned Aerial Vehicle Swarms Swarms
Towards Resilient and Autonomous Networks: A BlueSky Vision on AI-Native 6G
May 20, 2026Liang Wu, Kelly Wan, Mayank Darbari +1Mobile Networks Artificial Intelligence Systems
AutoMCU: Feasibility-First MCU Neural Network Customization via LLM-based Multi-Agent Systems
May 20, 2026Penglin Dai, Zijie Zhou, Xincao Xu +3Neural Architecture Search Heterogeneous Edge Devices
Decoupling Communication from Policy: Robust MARL under Bandwidth Constraints
May 20, 2026Alexi Canesse, Benoît Goupil, Jesse Read +1Multi-Agent Reinforcement Learning Bandwidth Constraints
STEAM: A Training-Free Congestion-Aware Enhancement Framework for Decentralized Multi-Agent Path Finding
May 20, 2026Mingyang Feng, Mengnuo Zhang, Shaoyuan Li +1Multi-Agent Path Finding Multi-Agent Reinforcement Learning
Time-To-Reach Separation and Safety Filtering for Safe, Fair, and Efficient Multi-Agent Coordination
May 20, 2026Matthew Low, Jasmine Jerry Aloor, Victoria Marie Tuck +2Air Traffic Control Collision Avoidance
COAgents: Multi-Agent Framework to Learn and Navigate Routing Problems Search Space
May 20, 2026Oleksandr Yakovenko, Mahdi Mostajabdaveh, Cheikh Ahmed +4Vehicle Routing Problem Multi-Agent Path Finding
From Automated to Autonomous: Hierarchical Agent-native Network Architecture (HANA)
May 20, 2026Binghan Wu, Shoufeng Wang, Yunxin Liu +3Optical Networks Autonomy
Intent-First Aerial V2V for Tactical Coordination and Separation: Protocol and Performance Under Density and Disturbance
May 20, 2026Mehrnaz SabetAir Traffic Control Multi-Uav Systems
Multi-agent Collaboration with State Management
May 19, 2026Mengyang Liu, Taozhi Chen, Zhenhua Xu +2Multi-Agent Systems Codebases
What Do Agents Communicate? Characterizing Information Exchange in Multi-Agent Systems
May 19, 2026Yong Jin Chun, Iftekhar AhmedMulti-Agent Systems Downstream Reasoning
Scalable Multi-robot Motion Planning via Hierarchical Subproblem Expansion and Workspace Decomposition Refinement
May 19, 2026Isaac Ngui, Courtney McBeth, James D. Motes +2Multi-Robot Motion Planning Planning Methods
Memory-Induced Supra-Competitive Outcomes Between Deep Reinforcement Learning Agents in Optimal Trade Execution
May 19, 2026Christos Spyridon Koulouris, Carlo CampajolaMulti-Agent Reinforcement Learning Imperfect-Information Games
EngiAI: A Multi-Agent Framework and Benchmark Suite for LLM-Driven Engineering Design
May 19, 2026Gioele Molinari, Florian Felten, Soheyl Massoudi +1Engineering Multi-Agent Systems
Conflict-Resilient Multi-Agent Reasoning via Signed Graph Modeling
May 19, 2026Longgang He, Longzhu He, Daojing He +1Multi-Agent Reasoning Multi-Agent Systems
STAR-PólyaMath: Multi-Agent Reasoning under Persistent Meta-Strategic Supervision
May 19, 2026Jiaao Wu, Xian Zhang, Hanzhang Liu +3Multi-Agent Reasoning Mathematical Reasoning
CASPIAN: Online Detection and Attribution of Cascade Attacks in LLM Multi-Agent Systems via Cross-Channel Causal Monitoring
May 19, 2026Kavana Venkatesh, Jafar Isbarov, Saad Amin +2Multi-Agent Systems Adversaries
Differentiable Model Predictive Safety for Heterogeneous Mobility at Urban Intersections
May 19, 2026Wenzhe Song, Hao ZhangAutonomous Driving Microscopic Traffic Simulations
Learning to Hand Off: Provably Convergent Workflow Learning under Interface Constraints
May 18, 2026Jiayu Li, Enpei Zhang, Dawei Zhou +2Q-Learning Multi-Agent Workflows
Guiding Neuro-Symbolic Scenario Generation with Spatio-Temporal Logic
May 18, 2026Lorenzo Bonin, Francesco Giacomarra, Luca Bortolussi +2Scenario Generation Autonomous Driving
Code as Agent Harness
May 18, 2026Xuying Ning, Katherine Tieu, Dongqi Fu +39Agent Harness Coding Agents
Position: A Three-Layer Probabilistic Assume-Guarantee Architecture Is Structurally Required for Safe LLM Agent Deployment
May 18, 2026S. Bensalem, Y. Dong, M. Franzle +6Large Language Model Safety Large Language Model Agents
Seeing Together: Multi-Robot Cooperative Egocentric Spatial Reasoning with Multimodal Large Language Models
May 18, 2026Kunyu Peng, Zhikun Zhou, Kailun Yang +9Multi-Robot Systems Spatial Reasoning

May 25, 2026 · cond-mat.mtrl-sciJ/K move · Enter open · S save

AutoDFT: A Closed-Loop Multi-Agent Framework for Autonomous DFT Calculations

Penghui Yang, Zhonghan Zhang, Yue Li, Xinrun Wang+5

Density functional theory (DFT) serves as the basis for computational discovery in materials science and chemistry, yet each calculation demands extensive human effort: adjusting algorithms when convergence stalls, revising plans when unexpected physics emerges, and inserting steps as intermediate results reshape the problem. Existing LLM-based agents automate only the initial planning stage, producing a full execution plan upfront and leaving all subsequent adaptation to hand-crafted rules. As a result, these workflows remain fragile, do not generalize well beyond pre-planned scenarios, and often require expert intervention when failures or unexpected intermediate results require changes to the calculation path. Here, we introduce AutoDFT, a closed-loop multi-agent framework that embeds LLM reasoning into every stage of the DFT lifecycle, where a strategic planner produces a skeletal plan of step objectives; a step planner generates numerical parameters just in time from preceding results; and a monitor-recover-reflect cycle diagnoses failures, repairs them, and revises the plan when the evidence justifies it. We demonstrate both breadth and depth: breadth on VASPBench, a purpose-built benchmark spanning 34 tasks and 9 DFT calculation types, where AutoDFT achieves 94.1% task-level success with GPT-5.2; and depth on established materials databases, where AutoDFT produces quantitatively reliable property predictions across electronic, magnetic, and energetic properties. By closing the loop between planning and execution, AutoDFT enables experimentalists without deep computational expertise to obtain reliable first-principles results.

Density Functional Theory First-Principles Calculation Materials Science Multi-Agent Systems

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