AI Agent

Planning Ahead with RSA: Efficient Signalling in Dynamic Environments by Projecting User Awareness across Future Timesteps

基于RSA的前瞻性规划：通过跨未来时间步投影用户意识实现动态环境中的高效信号传递

Anwesha Das, John Duff, Jörg Hoffmann, Vera Demberg

机构 * Saarland University（萨尔兰大学） 纠错

专题命中 规划决策 ：planning(title,abstract)；agent(abstract)；分类 cs.AI、cs.CL；autonomous agent(journal_ref)

AI总结 本文提出基于RSA的前瞻性规划方法，通过跨未来时间步投影用户意识，优化动态环境中的人机协作效率。

Comments 11 pages, 3 figures

Journal ref Proc. of the 25th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2026)

AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning

AutoTool: 面向智能体推理的动态工具选择与集成

Jiaru Zou, Ling Yang, Yunzhe Qi, Sirui Chen, Mengting Ai, Ke Shen, Jingrui He, Mengdi Wang

机构 * Nanyang Technological University（南洋理工大学） 纠错

专题命中 规划决策 ：agentic(title,abstract)；tool use(abstract)；分类 cs.CL、cs.LG

AI总结 提出AutoTool框架，通过双阶段优化（SFT+RL轨迹稳定化和KL正则化Plackett-Luce排序）使大语言模型具备动态工具选择能力，在数学、科学、代码和多模态推理等任务上平均提升6.4%-7.7%。

Comments ICML2026; Best Paper Award at ICCV 2025 Workshop on Multi-Modal Reasoning for Agentic Intelligence

Constructing the Umwelt: Cognitive Planning through Belief-Intent Co-Evolution

构建环境：通过信念-意图共演的认知规划

Shiyao Sang

机构 * Shiyao Sang（桑世尧） 纠错

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

AI总结 本文提出基于信念-意图共演的认知规划方法，通过MBCWM和TIWM模型实现环境与现实的认知一致性，提升自动驾驶规划性能并展现类人认知行为。

Comments 12 pages, 8 figures. A paradigm shift from reconstructing the world to understanding it: planning through Belief-Intent Co-Evolution

From Perception to Action: Spatial AI Agents and World Models

从感知到行动：空间AI代理与世界模型

Gloria Felicia, Nolan Bryant, Handi Putra, Ayaan Gazali, Eliel Lobo, Esteban Rojas

机构 * AtlasPro AI 纠错

专题命中 规划决策 ：AI agent(title,comments)；planning(abstract)；agentic(abstract)；分类 cs.AI、cs.LG

AI总结 本文提出了一种统一的三轴分类法，将代理能力与空间任务联系起来，强调空间定位与符号定位的区别，并指出世界模型对跨尺度安全部署的重要性。

Comments 61 pages, 742 citations, 1 figure, 3 tables. Survey paper on spatial AI agents, embodied AI, graph neural networks, and world models

ADAGE: A generic two-layer framework for adaptive agent based modelling

Benjamin Patrick Evans, Sihan Zeng, Sumitra Ganesh, Leo Ardon

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

Comments Accepted at the 2025 International Conference on Autonomous Agents and Multiagent Systems (AAMAS)

A Language Agent for Autonomous Driving

Jiageng Mao, Junjie Ye, Yuxi Qian, Marco Pavone, Yue Wang

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

Comments COLM 2024. Project Page: https://usc-gvl.github.io/Agent-Driver/

World Value Functions: Knowledge Representation for Learning and Planning

Geraud Nangue Tasse, Benjamin Rosman, Steven James

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

Comments Accepted at the Planning and Reinforcement Learning Workshop at ICAPS 2022. arXiv admin note: text overlap with arXiv:2205.08827

Beyond Value: CHECKLIST for Testing Inferences in Planning-Based RL

Kin-Ho Lam, Delyar Tabatabai, Jed Irvine, Donald Bertucci, Anita Ruangrotsakun, Minsuk Kahng, Alan Fern

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

Comments This work will appear in the Proceedings of the 32nd International Conference on Automated Planning and Scheduling (ICAPS2022) https://icaps22.icaps-conference.org/papers

Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators

Clement Gehring, Masataro Asai, Rohan Chitnis, Tom Silver, Leslie Pack Kaelbling, Shirin Sohrabi, Michael Katz

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

Comments Equal contributions by the first two authors. This manuscript is a camera-ready version accepted in ICAPS-2022. It is significantly updated from past versions (e.g., in the ICAPS PRL (Planning and RL) workshop) with additional experiments comparing existing work (STRIPS-HGN (Shen, Trevizan, and Thiebaux 2020) and GBFS-GNN (Rivlin, Hazan, and Karpas 2019))

Differentiable Spatial Planning using Transformers

Devendra Singh Chaplot, Deepak Pathak, Jitendra Malik

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

Comments Published at ICML 2021. See project webpage at https://devendrachaplot.github.io/projects/spatial-planning-transformers

Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futures

Ashkan Jasour, Xin Huang, Allen Wang, Brian C. Williams

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

Comments Accepted at Autonomous Robots. Author version, with 11 pages, 5 figures, 2 tables. Journal extension of "Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures" (Wang et al. RSS 2020, arXiv:2005.13458)

Learning-based Preference Prediction for Constrained Multi-Criteria Path-Planning

Kevin Osanlou, Christophe Guettier, Andrei Bursuc, Tristan Cazenave, Eric Jacopin

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

Comments arXiv admin note: text overlap with arXiv:2108.00978

Journal ref International Conference on Automated Planning and Scheduling 2019, Workshop SPARK

Policy-focused Agent-based Modeling using RL Behavioral Models

Osonde A. Osoba, Raffaele Vardavas, Justin Grana, Rushil Zutshi, Amber Jaycocks

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

Comments This is a more detailed version of a paper ("Modeling Agent Behaviors for Policy Analysis via Reinforcement Learning") accepted to appear in IEEE ICMLA 2020. This also corrects an error in Fig. 7 of the original arXiv submission. Fig. 7 now specifies the right ABM architecture ("flu" instead of "tax")

Cognitive Mapping and Planning for Visual Navigation

Saurabh Gupta, Varun Tolani, James Davidson, Sergey Levine, Rahul Sukthankar, Jitendra Malik

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

Comments Extended IJCV Version of the original paper at CVPR17. Project website with code, models, simulation environment and videos: https://sites.google.com/view/cognitive-mapping-and-planning/

Is Deep Research Reliable? Misleading Knowledge Induces False Conclusions

深度研究可靠吗？误导性知识会导致错误结论

Pengyu Zhu, Lijun Li, Longju Yang, Sen Su, Jing Shao

机构 * Beijing University of Posts and Telecommunications（北京邮电大学） ； Shanghai Artificial Intelligence Laboratory（上海人工智能实验室） ； Chongqing University of Posts and Telecommunications（重庆邮电大学） 纠错

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

AI总结 研究深度研究代理在开放信息环境中的可靠性，引入MisKnow-Agent框架生成误导性实例，通过实验发现其易因误导知识得出错误结论，验证与实际证据使用脱节，评估防御措施效果，强调需提升模型和框架层面的证据验证及纠正能力。

OralAgent: Integrating Reasoning, Tools, and Knowledge for Interactive Dental Image Analysis

OralAgent: 融合推理、工具与知识的交互式牙科影像分析

Jing Hao, Siyuan Dai, Yongxin Zhang, Yuci Liang, Jiamin Wu, Jiahao Bao, Yuxuan Fan, Zanting Ye, Yanpeng Sun, Xinyu Zhang, Ming Hu, Liang Zhan, James Kit Hon Tsoi, Linlin Shen, Junjun He, Kuo Feng Hung

机构 * Faculty of Dentistry, the University of Hongkong, Hong Kong SAR, China（香港大学牙科学院，中国香港特别行政区） ； Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA（匹兹堡大学电气与计算机工程系，美国宾夕法尼亚州匹兹堡） ； Shenzhen University, China（深圳大学，中国） ； Department of Craniomaxillofacial Surgery, Shanghai Ninth People’s Hospital, China（上海第九人民医院口腔颌面外科部，中国） ； Nanyang technological University, Singapore（南洋理工大学，新加坡） ； School of Biomedical Engineering, Southern Medical University, China（南方医科大学生物医学工程学院，中国） ； Singapore University of Technology and Design, Singapore（新加坡科技设计大学，新加坡） ； University of Auckland, new zealand（奥克兰大学，新西兰） ； Shanghai Artificial Intelligence Laboratory , China（上海人工智能实验室，中国） 纠错

专题命中 规划决策 ：agent(abstract)；AI agent(abstract)；tool use(abstract)；planning(abstract)

AI总结 提出首个牙科专用AI智能体OralAgent，通过集成22种视觉分析工具和368本经典牙科教科书，实现多模态推理、工具决策与知识检索的自动化框架，在多个基准上达到最优性能。

Comments 14 pages, 7 figures, 6 tables

Can LLM Agents Respond to Disasters? Benchmarking Heterogeneous Geospatial Reasoning in Emergency Operations

大语言模型代理能否应对灾难？评估异构地理空间推理在紧急行动中的基准测试

Junjue Wang, Weihao Xuan, Heli Qi, Pengyu Dai, Kunyi Liu, Hongruixuan Chen, Zhuo Zheng, Junshi Xia, Stefano Ermon, Naoto Yokoya

机构 * The University of Tokyo（东京大学） ； RIKEN AIP（理化学研究所AIP） ； Waseda University（早稻田大学） ； Stanford University（斯坦福大学） 纠错

专题命中 规划决策 ：agent(abstract,abstract_cn)；tool use(abstract)；planning(abstract)；agentic(abstract)

AI总结 本文提出DORA基准测试，评估大语言模型在灾难响应中的端到端流程，揭示了灾难领域接地、工具选择瓶颈和组合脆弱性等挑战。

Comments DORA stress-tests LLM agents on real-world disaster operations that demand comprehensive orchestration of 108 specialized tools over heterogeneous geospatial data

ReCoQA: A Benchmark for Tool-Augmented and Multi-Step Reasoning in Real Estate Question and Answering

ReCoQA：一个用于房地产问答中工具增强和多步骤推理的基准

Yindong Zhang, Wenmian Yang, Yiquan Zhang, Weijia Jia

机构 * Hong Kong Baptist University（香港 Baptist大学） ； Beijing Normal-Hong Kong Baptist University（北京师范大学-香港 Baptist大学） ； Beijing Normal University（北京师范大学） 纠错

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

AI总结 本文提出ReCoQA基准，包含29270个房地产实例，通过机器可验证的监督提升多步骤推理能力，并提出HIRE-Agent框架作为强基线，验证了层级协作在复杂现实任务中的必要性。

Comments Accepted by ACL 2026

How Far Are LLMs from Professional Poker Players? Revisiting Game-Theoretic Reasoning with Agentic Tool Use

LLMs距离专业扑克玩家还有多远？结合代理工具使用的博弈论推理再探

Minhua Lin, Enyan Dai, Hui Liu, Xianfeng Tang, Yuliang Yan, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Fali Wang, Hongcheng Gao, Chen Luo, Xiang Zhang, Qi He, Suhang Wang

机构 * The Pennsylvania State University（宾夕法尼亚州立大学） ； HKUST (GZ)（香港科技大学） ； Amazon（亚马逊） ； Tsinghua University（清华大学） ； Microsoft（微软公司） 纠错

专题命中 规划决策 ：tool use(title)；agentic(title)；分类 cs.AI

AI总结 本文提出ToolPoker框架，通过整合外部求解器和专业解释，提升LLMs在扑克博弈中的推理和游戏表现。

Comments Accepted by ICLR 2026

MARBLE: Multi-Agent Reasoning for Bioinformatics Learning and Evolution

MARBLE: 多智能体推理用于生物信息学学习与进化

Sunghyun Kim, Seokwoo Yun, Youngseo Yun, Youngrak Lee, Sangsoo Lim

机构 * Division of AI Convergence, Dongguk University, Seoul, South Korea（东国大学人工智能融合系） ； AI Research Team, Ar-ge Inc., Seoul, South Korea（Ar-ge公司人工智能研究团队） ； Department of Biomedical Engineering, Dongguk University, Goyang-si, Gyeonggi-do, South Korea（东国大学生物医学工程系） ； Department of Computer Science and Artificial Intelligence, Dongguk University, Seoul, South Korea（东国大学计算机科学与人工智能系） 纠错

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

AI总结 MARBLE通过多智能体推理实现生物信息学模型的稳定优化，提升性能并保持鲁棒性。

Embedding Autonomous Agents in Resource-Constrained Robotic Platforms

在资源受限的机器人平台上嵌入自主代理

Negar Halakou, Juan F. Gutierrez, Ye Sun, Han Jiang, Xueming Wu, Yilun Song, Andres Gomez

机构 * Institut für Datentechnik und Kommunikationsnetze, TU Braunschweig（数据技术与通信网络研究所， Braunschweig 技术大学） 纠错

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

AI总结 本研究在资源受限的机器人平台上嵌入自主代理，通过AgentSpeak编程实现迷宫探索，展示高效推理过程适用于实时自主操作。

Comments This is an open-access, author-archived version of a manuscript published in European Conference on Multi-Agent Systems 2025

TinyScientist: An Interactive, Extensible, and Controllable Framework for Building Research Agents

Haofei Yu, Keyang Xuan, Fenghai Li, Kunlun Zhu, Zijie Lei, Jiaxun Zhang, Ziheng Qi, Kyle Richardson, Jiaxuan You

机构 * University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； Allen Institute for Artificial Intelligence（人工智能研究院） 纠错

专题命中 规划决策 ：agent(abstract)；planning(abstract)；workflow(abstract)；agentic(abstract)

Comments 7 pages, EMNLP 2025 Demo track

ToMPO: Training LLM Strategic Decision Making from a Multi-Agent Perspective

Yiwen Zhang, Ziang Chen, Fanqi Kong, Yizhe Huang, Xue Feng

机构 * State Key Laboratory of General Artificial Intelligence, BIGAI（通用人工智能国家重点实验室，BIGAI） ； Peking University（北京大学） ； The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州）） ； Tsinghua University（清华大学） 纠错

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

Comments 22 pages, 14 figures

Architecting Clinical Collaboration: Multi-Agent Reasoning Systems for Multimodal Medical VQA

Karishma Thakrar, Shreyas Basavatia, Akshay Daftardar

机构 * Georgia Institute of Technology Atlanta, GA, USA（佐治亚理工学院） 纠错

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

A Multi-Agent Pokemon Tournament for Evaluating Strategic Reasoning of Large Language Models

Tadisetty Sai Yashwanth, Dhatri C

机构 * TuriLabs 纠错

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

Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact

Rizwan Qureshi, Ranjan Sapkota, Abbas Shah, Amgad Muneer, Anas Zafar, Ashmal Vayani, Maged Shoman, Abdelrahman B. M. Eldaly, Kai Zhang, Ferhat Sadak, Shaina Raza, Xinqi Fan, Ravid Shwartz-Ziv, Hong Yan, Vinjia Jain, Aman Chadha, Manoj Karkee, Jia Wu, Seyedali Mirjalili

机构 * Center for research in Computer Vision, University of Central Florida（计算机视觉研究中心，中央佛罗里达大学） ； Cornell University（康奈尔大学） ； Department of Electronics Engineering, Mehran University of Engineering & Technology（电子工程系，工程与技术大学） ； Department of Imaging Physics, The University of Texas MD Anderson Cancer Center（成像物理系，德克萨斯大学MD安德森癌症中心） ； Intelligent Transportation Systems, University of Tennessee（智能交通运输系统，田纳西大学） ； Department of Electrical Engineering, City University of Hong Kong（电气工程系，香港城市大学） ； Department of Mechanical Engineering, Bartin University（机械工程系，巴廷大学） ； Vector Institute, Toronto Canada（多伦多加拿大向量研究所） ； Manchester Metropolitan University（曼彻斯特 Metropolitan 大学） ； Center for Data Science, New York University（数据科学中心，纽约大学） ； Meta Research（Meta 研究） ； Amazon Research（亚马逊研究） ； Centre for Artificial Intelligence Research and Optimization, Torrens University Australia（人工智能研究与优化中心，塔伦斯大学澳大利亚） ； University Research and Innovation Center, Obuda University（研究与创新中心，奥布达大学） 纠错

专题命中 规划决策 ：agent(abstract)；tool use(abstract)；planning(abstract)；agentic(abstract)

ChipXplore: Natural Language Exploration of Hardware Designs and Libraries

Manar Abdelatty, Jacob Rosenstein, Sherief Reda

机构 * Brown University（布朗大学） 纠错

专题命中 规划决策 ：agent(abstract)；autonomous agent(abstract)；planning(abstract)；workflow(abstract)

Comments 10 pages

Journal ref IEEE International Conference on LLM-Aided Design (LAD), 2025

Multi-Agent Reinforcement Learning with Hierarchical Coordination for Emergency Responder Stationing

Amutheezan Sivagnanam, Ava Pettet, Hunter Lee, Ayan Mukhopadhyay, Abhishek Dubey, Aron Laszka

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

Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational Reasoning

Chenxin Xu, Yuxi Wei, Bohan Tang, Sheng Yin, Ya Zhang, Siheng Chen

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

Comments arXiv admin note: text overlap with arXiv:2204.08770

An Agent Based Architecture (Using Planning) for Dynamic and Semantic Web Services Composition in an EBXML Context

Hioual Ouassila, Boufaida Zizette

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

Comments 22 pages, 11 figures, 1 table

Journal ref International Journal of Database Management Systems ( IJDMS ), Vol.3, No.1, February 2011 110-131