AI Agent

IntentCUA: Learning Intent-level Representations for Skill Abstraction and Multi-Agent Planning in Computer-Use Agents

IntentCUA: 学习意图级表示以实现技能抽象和多智能体规划在计算机使用代理中

Seoyoung Lee, Seobin Yoon, Seongbeen Lee, Yoojung Chun, Dayoung Park, Doyeon Kim, Joo Yong Sim

机构 * Sookmyung Women's University（首尔女子大学） 纠错

专题命中 规划决策 ：agent(title,abstract)；planning(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

AI总结 IntentCUA通过意图级表示和多智能体协作提升桌面自动化效率与稳定性。

Comments 12 pages, 9 figures, AAMAS 2026

Hierarchical LLM-Based Multi-Agent Framework with Prompt Optimization for Multi-Robot Task Planning

分层基于大语言模型的多智能体框架与提示优化用于多机器人任务规划

Tomoya Kawabe, Rin Takano

机构 * Data Science Laboratories, NEC Corporation（日本电气株式会社数据科学实验室） 纠错

专题命中 规划决策 ：agent(title,abstract)；planning(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

AI总结 本文提出一种分层多智能体框架，结合提示优化提升多机器人任务规划的准确性和效率。

Comments Accepted to IEEE International Conference on Robotics and Automation (ICRA) 2026. 8 pages, 2 figures

ParaCook: On Time-Efficient Planning for Multi-Agent Systems

ParaCook: 多智能体系统中高效时间规划的研究

Shiqi Zhang, Xinbei Ma, Yunqing Xu, Zouying Cao, Pengrui Lu, Haobo Yuan, Tiancheng Shen, Zhuosheng Zhang, Hai Zhao, Ming-Hsuan Yang

机构 * Shanghai Jiao Tong University（上海交通大学） ； University of California, Merced（加州大学梅尔德分校） 纠错

专题命中 规划决策 ：agent(title,abstract)；planning(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

AI总结 ParaCook通过简化动作空间和烹饪任务实例化，为多智能体系统高效时间规划提供基准测试框架，评估LLMs在并行协调和高层次优化中的表现。

Scaling Multi-Agent Epistemic Planning through GNN-Derived Heuristics

通过GNN衍生启发式方法实现多智能体认知规划的扩展

Giovanni Briglia, Francesco Fabiano, Stefano Mariani

机构 * Department of Sciences and Methods for Engineering, University of Modena and Reggio Emilia（工程科学与方法系，摩德纳和雷吉奥艾米利亚大学） ； Department of Computer Science, University of Oxford（计算机科学系，牛津大学） ； Department of Computer Science, University of Pisa（计算机科学系，比萨大学） 纠错

专题命中 规划决策 ：agent(title,abstract)；planning(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

AI总结 本文通过GNN衍生启发式方法提升多智能体认知规划的可扩展性，改进求解效率。

Multi-Agent Learning Path Planning via LLMs

通过大型语言模型进行多智能体学习路径规划

Haoxin Xu, Changyong Qi, Tong Liu, Bohao Zhang, Anna He, Bingqian Jiang, Longwei Zheng, Xiaoqing Gu

机构 * Shanghai International Studies University（上海国际 Studies 大学） ； East China Normal University（华东师范大学） ； Huaiyin Normal University（淮阴师范学院） ； City University of Macau（澳门城市大学） 纠错

专题命中 规划决策 ：agent(title,abstract)；planning(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

AI总结 本研究提出基于LLMs的多智能体学习路径规划框架，通过角色与规则协作机制提升学习路径的透明性与可解释性，实验表明其在路径质量、知识一致性及认知负荷匹配方面优于传统方法。

Zero-shot adaptable task planning for autonomous construction robots: a comparative study of lightweight single and multi-AI agent systems

零样本适应性任务规划用于自主建造机器人：轻量级单 agent 和多 agent 系统的比较研究

Hossein Naderi, Alireza Shojaei, Lifu Huang, Philip Agee, Kereshmeh Afsari, Abiola Akanmu

专题命中 规划决策 ：agent(title,abstract)；planning(title,abstract)；AI agent(title)；multi-agent(abstract)

AI总结 本研究通过比较轻量级单 agent 和多 agent 系统，探索了零样本适应性任务规划在自主建造机器人中的应用，展示了四 agent 团队在效率和成本上的优势。

Symbolic Planning and Multi-Agent Path Finding in Extremely Dense Environments with Unassigned Agents

符号规划与在极度密集环境中无分配代理的多智能体路径寻找

Bo Fu, Zhe Chen, Rahul Chandan, Alex Barbosa, Michael Caldara, Joey Durham, Federico Pecora

专题命中 规划决策 ：agent(title,abstract)；planning(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

AI总结 本文提出五种基于搜索的算法，用于解决在极度密集环境中无分配代理的多智能体路径寻找问题，通过图搜索方法高效生成重新排列计划。

Comments AAAI Conference on Artificial Intelligence (AAAI-26)

TriFlow: A Progressive Multi-Agent Framework for Intelligent Trip Planning

TriFlow：一种渐进式多智能体框架用于智能行程规划

Yuxing Chen, Basem Suleiman, Qifan Chen

机构 * The University of Sydney（悉尼大学） ； University of New South Wales（新南威尔士大学） 纠错

专题命中 规划决策 ：agent(title,abstract)；planning(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

AI总结 TriFlow通过检索、规划和治理三阶段流程，实现了在严格约束下高效生成个性化行程的智能规划框架。

Comments 4 pages, 3 figures

Path Planning through Multi-Agent Reinforcement Learning in Dynamic Environments

Jonas De Maeyer, Hossein Yarahmadi, Moharram Challenger

机构 * Department of Computer Science University of Antwerp (UA)（安特卫普大学计算机科学系） ； Department of Computer Engineering, Faculty of Engineering, Ayatollah Boroujerdi University（阿亚图拉·博鲁杰尔迪大学工程学院计算机工程系） ； Department of Computer Science University of Antwerp (UA) and Flanders Make（安特卫普大学计算机科学系和弗拉芒制造） 纠错

专题命中 规划决策 ：agent(title,abstract)；planning(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

Multi-Agent Legal Verifier Systems for Data Transfer Planning

Ha-Thanh Nguyen, Wachara Fungwacharakorn, Ken Satoh

机构 * Center of Juris-Informatics, Joint Support-Center for Data Science Research, ROIS, Tokyo, Japan（司法信息中心、数据科学研究联合支持中心、ROIS、东京、日本） ； Research and Development Center for Large Language Models, NII, ROIS, Tokyo, Japan（大语言模型研究与开发中心、日本信息机构、ROIS、东京、日本） 纠错

专题命中 规划决策 ：agent(title,abstract)；planning(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

Comments Presented at NeLaMKRR@KR, 2025 (arXiv:2511.09575)

Large-scale automatic carbon ion treatment planning for head and neck cancers via parallel multi-agent reinforcement learning

Jueye Zhang, Chao Yang, Youfang Lai, Kai-Wen Li, Wenting Yan, Yunzhou Xia, Haimei Zhang, Jingjing Zhou, Gen Yang, Chen Lin, Tian Li, Yibao Zhang

机构 * 1 State Key Laboratory of Nuclear Physics ； Technology, Institute of Heavy Ion Physics, Peking University School of Physics, Beijing 100871, China. ； 2 Key Laboratory of Carcinogenesis ； Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital \& Institute, Beijing 100142, China. ； 3 Department of Technology, CAS Ion Medical Technology Co., Ltd., Beijing 100190, China. ； 4 Department of Health Technology ； Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, 999077, China. 纠错

专题命中 规划决策 ：agent(title,abstract)；planning(title,abstract)；multi-agent(title,abstract)；分类 cs.LG

Where Common Knowledge Cannot Be Formed, Common Belief Can -- Planning with Multi-Agent Belief Using Group Justified Perspectives

Guang Hu, Tim Miller, Nir Lipovetzky

专题命中 规划决策 ：agent(title,abstract)；planning(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

Comments 12 pages, including supplementary and reference

SAFE--MA--RRT: Multi-Agent Motion Planning with Data-Driven Safety Certificates

Babak Esmaeili, Hamidreza Modares

机构 * Department of Mechanical Engineering, Michigan State University（机械工程系，密歇根州立大学） 纠错

专题命中 规划决策 ：agent(title,abstract)；planning(title,abstract)；multi-agent(title,abstract)；分类 cs.LG

Comments Submitted to IEEE Transactions on Automation Science and Engineering

Analyzing Information Sharing and Coordination in Multi-Agent Planning

Tianyue Ou, Saujas Vaduguru, Daniel Fried

专题命中 规划决策 ：agent(title,abstract)；planning(title,abstract)；multi-agent(title,abstract)；分类 cs.CL

Adaptive Multi-Agent Reasoning via Automated Workflow Generation

Humza Sami, Mubashir ul Islam, Pierre-Emmanuel Gaillardon, Valerio Tenace

机构 * PrimisAI ； University of Utah（犹他大学） 纠错

专题命中 规划决策 ：agent(title,abstract)；workflow(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

Smurfs: Multi-Agent System using Context-Efficient DFSDT for Tool Planning

Junzhi Chen, Juhao Liang, Benyou Wang

机构 * The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳）） 纠错

专题命中 规划决策 ：agent(title,abstract)；multi-agent(title,abstract)；planning(title)；tool use(abstract)

Journal ref Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning

Oleg Sautenkov, Yasheerah Yaqoot, Muhammad Ahsan Mustafa, Faryal Batool, Jeffrin Sam, Artem Lykov, Chih-Yung Wen, Dzmitry Tsetserukou

机构 * Intelligent Space Robotics Laboratory, Center for Digital Engineering, Skolkovo Institute of Science and Technology（斯克尔科沃科学与技术研究所） 纠错

专题命中 规划决策 ：agent(title,abstract)；planning(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

Comments Submitted

Diffusion-Reinforcement Learning Hierarchical Motion Planning in Multi-agent Adversarial Games

Zixuan Wu, Sean Ye, Manisha Natarajan, Matthew C. Gombolay

机构 * Institute of Robotics and Intelligent Machines (IRIM)（机器人与智能机械研究所） ； Georgia Institute of Technology（佐治亚理工学院） 纠错

专题命中 规划决策 ：agent(title,abstract)；planning(title,abstract)；multi-agent(title,abstract)；分类 cs.LG

Comments This work has been submitted to the IEEE Robotics and Automation Letters (RA-L) for possible publication

Cooperative Multi-Agent Planning with Adaptive Skill Synthesis

Zhiyuan Li, Wenshuai Zhao, Joni Pajarinen

机构 * Department of Electrical Engineering and Automation, Aalto University（艾尔沃斯大学电气工程与自动化系） ； Department of Computer Science, Aalto University（艾尔沃斯大学计算机科学系） 纠错

专题命中 规划决策 ：agent(title,abstract)；planning(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

Neural ATTF: A Scalable Solution to Lifelong Multi-Agent Path Planning

Kushal Shah, Jihyun Park, Seung-Kyum Choi

机构 * Georgia Institute of Technology（佐治亚理工学院） ； Hyundai-MOBIS（现代莫比斯） 纠错

专题命中 规划决策 ：agent(title,abstract)；planning(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

Comments 13 Pages, 5 Figures, 5 Tables

SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning

Jianye Xu, Pan Hu, Bassam Alrifaee

专题命中 规划决策 ：agent(title,abstract)；planning(title,abstract)；multi-agent(title,abstract)；分类 cs.LG

Comments Accepted for presentation at the IEEE International Conference on Intelligent Transportation Systems (ITSC) 2024

Research Vision: Multi-Agent Path Planning for Cops And Robbers Via Reactive Synthesis

William Fishell, Andoni Rodriguez, Mark Santolucito

专题命中 规划决策 ：agent(title,abstract)；planning(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

Dashing for the Golden Snitch: Multi-Drone Time-Optimal Motion Planning with Multi-Agent Reinforcement Learning

Xian Wang, Jin Zhou, Yuanli Feng, Jiahao Mei, Jiming Chen, Shuo Li

专题命中 规划决策 ：agent(title,abstract)；planning(title,abstract)；multi-agent(title,abstract)；分类 cs.LG

Comments v2: 7 pages, 6 figures; terminology corrected, algorithmic and equation descriptions revised, references added

Novelty Accommodating Multi-Agent Planning in High Fidelity Simulated Open World

James Chao, Wiktor Piotrowski, Roni Stern, Héctor Ortiz-Peña, Mitch Manzanares, Shiwali Mohan, Douglas S. Lange

专题命中 规划决策 ：agent(title,abstract)；planning(title)；multi-agent(title)；AI agent(abstract)

MACI: Multi-Agent Collaborative Intelligence for Adaptive Reasoning and Temporal Planning

Edward Y. Chang

专题命中 规划决策 ：agent(title,abstract)；planning(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

Comments 21 pages, 19 tables

Journal ref Stanford University InfoLab Technical Report, 2025

MADP: Multi-Agent Deductive Planning for Enhanced Cognitive-Behavioral Mental Health Question Answer

Qi Chen, Dexi Liu

专题命中 规划决策 ：agent(title,abstract)；planning(title,abstract)；multi-agent(title,abstract)；分类 cs.CL

Simultaneous Computation with Multiple Prioritizations in Multi-Agent Motion Planning

Patrick Scheffe, Julius Kahle, Bassam Alrifaee

专题命中 规划决策 ：agent(title,abstract)；planning(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

Multi-Agent Planning Using Visual Language Models

Michele Brienza, Francesco Argenziano, Vincenzo Suriani, Domenico D. Bloisi, Daniele Nardi

专题命中 规划决策 ：agent(title,abstract)；planning(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

Loosely Synchronized Rule-Based Planning for Multi-Agent Path Finding with Asynchronous Actions

Shuai Zhou, Shizhe Zhao, Zhongqiang Ren

专题命中 规划决策 ：agent(title,abstract)；planning(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

Comments AAAI2025

ROMAS: A Role-Based Multi-Agent System for Database monitoring and Planning

Yi Huang, Fangyin Cheng, Fan Zhou, Jiahui Li, Jian Gong, Hongjun Yang, Zhidong Fan, Caigao Jiang, Siqiao Xue, Faqiang Chen

专题命中 规划决策 ：agent(title,abstract)；planning(title,abstract)；multi-agent(title,abstract)；分类 cs.AI