AI Agent

Dynamic Sight Range Selection in Multi-Agent Reinforcement Learning

Wei-Chen Liao, Ti-Rong Wu, I-Chen Wu

机构 * Department of Computer Science, National Yang Ming Chiao Tung University（国家阳明交通大学计算机科学系） ； Institute of Information Science, Academia Sinica（学术院信息科学研究所） 纠错

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

Comments Accepted at AAMAS 2025. The compiled PDF includes the appendix

The Hidden Strength of Disagreement: Unraveling the Consensus-Diversity Tradeoff in Adaptive Multi-Agent Systems

Zengqing Wu, Takayuki Ito

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.CL

Comments Source codes are available at https://github.com/wuzengqing001225/ConsensusDiversityTradeoffMAS

Enhancing LLMs for Power System Simulations: A Feedback-driven Multi-agent Framework

Mengshuo Jia, Zeyu Cui, Gabriela Hug

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.CL

Comments 16 pages

Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation

Minhua Lin, Zhengzhang Chen, Yanchi Liu, Xujiang Zhao, Zongyu Wu, Junxiang Wang, Xiang Zhang, Suhang Wang, Haifeng Chen

机构 * The Pennsylvania State University（宾夕法尼亚州立大学） ； NEC Laboratories America（NEC美国实验室） 纠错

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.CL

Comments 29 pages, 12 figures, 32 tables

Deploying Ten Thousand Robots: Scalable Imitation Learning for Lifelong Multi-Agent Path Finding

He Jiang, Yutong Wang, Rishi Veerapaneni, Tanishq Duhan, Guillaume Sartoretti, Jiaoyang Li

机构 * Robotics Institute, Carnegie Mellon University（卡内基梅隆大学机器人研究所） ； Department of Mechanical Engineering, National University of Singapore（新加坡国立大学机械工程系） 纠错

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

Comments Accepted by ICRA 2025

Bidirectional Distillation: A Mixed-Play Framework for Multi-Agent Generalizable Behaviors

Lang Feng, Jiahao Lin, Dong Xing, Li Zhang, De Ma, Gang Pan

机构 * Zhejiang University（浙江大学） 纠错

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

Learning Progress Driven Multi-Agent Curriculum

Wenshuai Zhao, Zhiyuan Li, Joni Pajarinen

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

Comments ICML 2025

Centrally Coordinated Multi-Agent Reinforcement Learning for Power Grid Topology Control

Barbera de Mol, Davide Barbieri, Jan Viebahn, Davide Grossi

机构 * EDMij B.V.（EDMij公司） ； TenneT TSO B.V.（TenneT TSO公司） ； University of Groningen（格罗宁根大学） ； University of Amsterdam（阿姆斯特丹大学） 纠错

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

Comments Accepted version to The 16th ACM International Conference on Future and Sustainable Energy Systems. The final published version is available at 10.1145/3679240.3734602

AI Hiring with LLMs: A Context-Aware and Explainable Multi-Agent Framework for Resume Screening

Frank P. -W. Lo, Jianing Qiu, Zeyu Wang, Haibao Yu, Yeming Chen, Gao Zhang, Benny Lo

机构 * Imperial College London（伦敦帝国理工学院） ； The Chinese University of Hong Kong（香港中文大学） ； The University of Hong Kong（香港大学） ； Wedon Education Technologies（韦登教育科技） ； Brest Business School（布雷斯特商学院） 纠错

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.CL

Comments Accepted by CVPR 2025 Workshop

Moving From Monolithic To Microservices Architecture for Multi-Agent Systems

Muskaan Goyal, Pranav Bhasin

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.SE

Comments 5 pages, comparative analysis

Journal ref World Journal of Advanced Engineering Technology and Sciences, 2025, 15(01), 2119-2124

Adaptive and Robust DBSCAN with Multi-agent Reinforcement Learning

Hao Peng, Xiang Huang, Shuo Sun, Ruitong Zhang, Philip S. Yu

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering

Joshua Owotogbe

机构 * Jheronimus Academy of Data Science, Tilburg University, ’s-Hertogenbosch, Netherlands（蒂尔堡大学） 纠错

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.SE

Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey

Mohamad A. Hady, Siyi Hu, Mahardhika Pratama, Jimmy Cao, Ryszard Kowalczyk

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

Variational Offline Multi-agent Skill Discovery

Jiayu Chen, Tian Lan, Vaneet Aggarwal

机构 * Carnegie Mellon University（卡内基梅隆大学） ； The George Washington University（乔治华盛顿大学） ； Purdue University（普渡大学） 纠错

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

Comments This work will appear in the proceedings of IJCAI 2025

Sparks: Multi-Agent Artificial Intelligence Model Discovers Protein Design Principles

Alireza Ghafarollahi, Markus J. Buehler

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

Symmetries-enhanced Multi-Agent Reinforcement Learning

Nikolaos Bousias, Stefanos Pertigkiozoglou, Kostas Daniilidis, George Pappas

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

Collaborative Multi-Agent Reinforcement Learning for Automated Feature Transformation with Graph-Driven Path Optimization

Xiaohan Huang, Dongjie Wang, Zhiyuan Ning, Ziyue Qiao, Qingqing Long, Haowei Zhu, Yi Du, Min Wu, Yuanchun Zhou, Meng Xiao

机构 * Computer Network Information Center, Chinese Academy of Sciences, and the University of the Chinese Academy of Sciences（中国科学院计算机网络信息中心及中国科学院大学） ； Department of Electrical Engineering and Computer Science at the University of Kansas（堪萨斯大学电气工程与计算机科学系） ； School of Computing and Information Technology, Great Bay University, Dongguan, China（广东大湾大学计算机与信息科技学院） ； School of Software, Tsinghua University（清华大学软件学院） ； Institute for Infocomm Research, Agency for Science, Technology, and Research（新加坡科技研究局信息与通信研究院） 纠错

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

Comments 13 pages, Keywords: Automated Feature Transformation, Tabular Dataset, Reinforcement Learning

Solving Multi-Agent Safe Optimal Control with Distributed Epigraph Form MARL

Songyuan Zhang, Oswin So, Mitchell Black, Zachary Serlin, Chuchu Fan

机构 * MIT（麻省理工学院） ； MIT Lincoln Laboratory（麻省理工学院林肯实验室） 纠错

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

Comments 28 pages, 16 figures; Accepted by Robotics: Science and Systems 2025

Meta-Thinking in LLMs via Multi-Agent Reinforcement Learning: A Survey

Ahsan Bilal, Muhammad Ahmed Mohsin, Muhammad Umer, Muhammad Awais Khan Bangash, Muhammad Ali Jamshed

机构 * University of Oklahoma（俄克拉荷马大学） ； Stanford University（斯坦福大学） ； School of Electrical and Computer Engineering, Oklahoma State University（电气与计算机工程学院，俄克拉荷马州立大学） ； University of Glasgow（格拉斯哥大学） 纠错

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.CL

Comments Submitted to IEEE Transactions on Artificial Intelligence

Self-Resource Allocation in Multi-Agent LLM Systems

Alfonso Amayuelas, Jingbo Yang, Saaket Agashe, Ashwin Nagarajan, Antonis Antoniades, Xin Eric Wang, William Wang

机构 * University of California, Santa Barbara（加州大学圣巴bara分校） ； University of California, Santa Cruz（加州大学圣克ruz分校） 纠错

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.CL

CMAT: A Multi-Agent Collaboration Tuning Framework for Enhancing Small Language Models

Xuechen Liang, Yangfan He, Meiling Tao, Yinghui Xia, Jianhui Wang, Tianyu Shi, Jun Wang, JingSong Yang

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.CL

PriM: Principle-Inspired Material Discovery through Multi-Agent Collaboration

Zheyuan Lai, Yingming Pu

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

Belief States for Cooperative Multi-Agent Reinforcement Learning under Partial Observability

Paul J. Pritz, Kin K. Leung

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

Multi-agent reinforcement learning using echo-state network and its application to pedestrian dynamics

Hisato Komatsu

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

Comments 25 pages, 19 figures

Journal ref J. Stat. Mech. (2025) 043401

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency

Yuting Zeng, Weizhe Huang, Lei Jiang, Tongxuan Liu, Xitai Jin, Chen Tianying Tiana, Jing Li, Xiaohua Xu

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.CL

Comments Accepted to NAACL 2025 Main

FactGuard: Leveraging Multi-Agent Systems to Generate Answerable and Unanswerable Questions for Enhanced Long-Context LLM Extraction

Qian-Wen Zhang, Fang Li, Jie Wang, Lingfeng Qiao, Yifei Yu, Di Yin, Xing Sun

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.CL

Multi-Agent LLM Judge: automatic personalized LLM judge design for evaluating natural language generation applications

Hongliu Cao, Ilias Driouich, Robin Singh, Eoin Thomas

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.CL

Comments Presented at SophiaSummit2024

Safety-Aware Multi-Agent Learning for Dynamic Network Bridging

Raffaele Galliera, Konstantinos Mitsopoulos, Niranjan Suri, Raffaele Romagnoli

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

Comments 8 pages, 18 equations, 4 figures, 1 algorithm, and 1 table

Attention-Driven Multi-Agent Reinforcement Learning: Enhancing Decisions with Expertise-Informed Tasks

Andre R Kuroswiski, Annie S Wu, Angelo Passaro

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

Comments This paper was published at Proceedings of FLAIRS-37, May 19-21, Sandestin Beach, FL. The proceedings version is available at https://journals.flvc.org/FLAIRS/issue/view/6284

When Persuasion Overrides Truth in Multi-Agent LLM Debates: Introducing a Confidence-Weighted Persuasion Override Rate (CW-POR)

Mahak Agarwal, Divyam Khanna

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.CL

Comments 10 pages, 6 figures