AI Agent

Proximity-Based Non-uniform Abstractions for Approximate Planning

Jiri Baum, Ann E. Nicholson, Trevor I. Dix

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

Journal ref Journal Of Artificial Intelligence Research, Volume 43, pages 477-522, 2012

A Bilinear Programming Approach for Multiagent Planning

Marek Petrik, Shlomo Zilberstein

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

Journal ref Journal Of Artificial Intelligence Research, Volume 35, pages 235-274, 2009

A Probabilistic Model of Action for Least-Commitment Planning with Information Gather

Denise L. Draper, Steve Hanks, Daniel Weld

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

Comments Appears in Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence (UAI1994)

Constraining Influence Diagram Structure by Generative Planning: An Application to the Optimization of Oil Spill Response

John Mark Agosta

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

Comments Appears in Proceedings of the Twelfth Conference on Uncertainty in Artificial Intelligence (UAI1996)

Distributed Planning in Hierarchical Factored MDPs

Carlos E. Guestrin, Geoffrey Gordon

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

Comments Appears in Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI2002)

Applying Strategic Multiagent Planning to Real-World Travel Sharing Problems

Jan Hrnčíř, Michael Rovatsos

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

Comments 7th International Workshop on Agents in Traffic and Transportation, AAMAS, 2012

Toward Large-Scale Agent Guidance in an Urban Taxi Service

Lucas Agussurja, Hoong Chuin Lau

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

Comments Appears in Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence (UAI2012)

Existence and Finiteness Conditions for Risk-Sensitive Planning: Results and Conjectures

Yaxin Liu, Sven Koenig

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

Comments Appears in Proceedings of the Twenty-First Conference on Uncertainty in Artificial Intelligence (UAI2005)

Optimal Coordinated Planning Amongst Self-Interested Agents with Private State

Ruggiero Cavallo, David C. Parkes, Satinder Singh

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

Comments Appears in Proceedings of the Twenty-Second Conference on Uncertainty in Artificial Intelligence (UAI2006)

Automated Planning in Repeated Adversarial Games

Enrique Munoz de Cote, Archie C. Chapman, Adam M. Sykulski, Nicholas R. Jennings

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

Comments Appears in Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI2010)

Anytime Planning for Decentralized POMDPs using Expectation Maximization

Akshat Kumar, Shlomo Zilberstein

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

Comments Appears in Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI2010)

Partial-Order Planning with Concurrent Interacting Actions

C. Boutilier, R. I. Brafman

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

Journal ref Journal Of Artificial Intelligence Research, Volume 14, pages 105-136, 2001

A Model Approximation Scheme for Planning in Partially Observable Stochastic Domains

N. L. Zhang, W. Liu

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

Comments See http://www.jair.org/ for any accompanying files

Journal ref Journal of Artificial Intelligence Research, Vol 7, (1997), 199-230

DPOCL: A Principled Approach to Discourse Planning

R. Michael Young, Johanna D. Moore

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

Journal ref proceedings of the Seventh International Workshop on Natural Langauge Generation, Kennebunkport, ME, June, 1994

Enacting Constructive Conflicts with AI Agents to Enhance Reconsideration among Novice Interaction Designers

借助AI智能体构建建设性冲突以提升新手交互设计师的重新考量能力

Howard Ziyu Han, Nikolas Martelaro

专题命中 规划决策 ：AI agent(title,abstract)；agent(abstract,comments)

AI总结 该研究构建受对抗性设计理论启发的AI智能体，通过45名设计学生的实验发现，该智能体实施的建设性冲突可提升新手交互设计师的重新考量能力，推动设计改进与创意拓展。

Comments 8 pages, 4 figures, conditionally accepted to Human-Agent Interaction 2026

Structured Agent Distillation for Large Language Model

大型语言模型的结构化智能体蒸馏

Jun Liu, Zhenglun Kong, Peiyan Dong, Changdi Yang, Tianqi Li, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Pu Zhao, Xue Lin, Dong Huang, Yanzhi Wang

机构 * Carnegie Mellon University（卡内基梅隆大学） ； Harvard University（哈佛大学） ； MIT（麻省理工学院） ； Northeastern University（东北大学） ； Adobe Research（Adobe研究） ； National University of Singapore（新加坡国立大学） ； University of Georgia（佐治亚大学） ； Florida International University（佛罗里达国际大学） 纠错

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

AI总结 提出结构化智能体蒸馏框架，通过分段对齐推理和动作跨度，将大型语言模型智能体压缩为小型学生模型，在保持决策性能的同时降低推理成本。

Journal ref The 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026)

What's the plan? Metrics for implicit planning in LLMs and their application to rhyme generation and question answering

计划是什么？LLMs中隐式规划的度量及其在押韵生成和问答中的应用

Jim Maar, Denis Paperno, Callum Stuart McDougall, Neel Nanda

机构 * HPI / University of Potsdam（HPI/波茨坦大学） ； Utrecht University（乌特勒支大学） ； Google DeepMind（谷歌DeepMind） 纠错

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

AI总结 本文提出简单方法评估LLM隐式规划，通过押韵生成和问答案例展示其可扩展性，发现隐式规划在1B参数模型中普遍存在，为AI安全提供新视角。

Comments 41 pages, 34 figures, Accepted at ICLR 2026, Code available at https://github.com/Jim-Maar/implicit-planning-in-llms

AI Cosplaying as Astrophysicists: A Controlled Synthetic-Agent Study of AI-Assisted Astrophysical Research Workflows

AI 伪装成天体物理学家：一个受控的合成智能体研究，探讨AI辅助天体物理研究流程

Chun Huang

专题命中 规划决策 ：agent(title,comments)；AI agent(abstract)；workflow(abstract)

AI总结 本文通过模拟144名合成研究者完成2592项日常天体物理研究任务，评估AI在不同任务类型和使用风格下的效果，发现AI辅助在特定任务和使用策略下能提升效率，但对推导密集型任务存在风险。

Comments 16 pages, 8 figures. Began as an April Fools' idea, regrettably became a real methods paper, No language models were physically harmed. GitHub repository of this work: https://github.com/ChunHuangPhy/agent_astro

Beyond Prompt Engineering: Neuro-Symbolic-Causal Architecture for Robust Multi-Objective AI Agents

Gokturk Aytug Akarlar

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

Comments 35 pages, 15 figures, 2 tables. Keywords: Large Language Models, Autonomous Agents, Neuro-Symbolic AI, Causal Inference, Formal Verification, Multi-Objective Optimization. Open-source code and interactive demo available

Explanatory Summarization with Discourse-Driven Planning

Dongqi Liu, Xi Yu, Vera Demberg, Mirella Lapata

机构 * Saarland University（萨尔兰大学） ； University of Edinburgh（爱丁堡大学） 纠错

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

Comments Accepted by the Transactions of the Association for Computational Linguistics (TACL 2025)

Journal ref Dongqi Liu, Xi Yu, Vera Demberg, Mirella Lapata; Explanatory Summarization with Discourse-Driven Planning. Transactions of the Association for Computational Linguistics 2025

Agentic Scene Policies: Unifying Space, Semantics, and Affordances for Robot Action

Sacha Morin, Kumaraditya Gupta, Mahtab Sandhu, Charlie Gauthier, Francesco Argenziano, Kirsty Ellis, Liam Paull

机构 * Université de Montréal（蒙特利尔大学） ； Mila - Quebec AI Institute（魁北克人工智能研究院） ； Sapienza University of Rome（罗马萨皮恩扎大学） 纠错

专题命中 规划决策 ：agentic(title,abstract)；planning(abstract)

Comments Project page: https://montrealrobotics.ca/agentic-scene-policies.github.io/

Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning

Joongwon Kim, Bhargavi Paranjape, Tushar Khot, Hannaneh Hajishirzi

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

Comments 50 pages, 42 figures. Project webpage available [here](https://agent-husky.github.io/)

MuLan: Multimodal-LLM Agent for Progressive and Interactive Multi-Object Diffusion

Sen Li, Ruochen Wang, Cho-Jui Hsieh, Minhao Cheng, Tianyi Zhou

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

Comments Added the application to human-agent interaction; added discussion with concurrent work

High-Level, Collaborative Task Planning Grammar and Execution for Heterogeneous Agents

Amy Fang, Hadas Kress-Gazit

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

Comments To appear in the Proceedings of the 2024 International Conference on Autonomous Agents and Multiagent Systems (AAMAS)

Reducing Onboard Processing Time for Path Planning in Dynamically Evolving Polygonal Maps

Aditya Shirwatkar, Aman Singh, Jana Ravi Kiran

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

Comments Course Project Report for CP:230 Motion Planning and Autonomous Navigation by Dr. Debasish Ghose

Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks

用于复杂序列决策任务的混合大语言模型增强强化学习智能体

Christophe D. Hounwanou, John Emeka Eze, Yaé Ulrich Gaba

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

AI总结 本文提出混合LLM增强RL智能体，融合LLM规划与RL动作优化，经实验验证其在序列决策任务上优于仅RL、仅LLM的基线方法，为构建更强自主系统提供了新方向。

Comments This submission is withdrawn because the uploaded manuscript does not accurately reflect the intended structure or results. Several components referenced in the text are incomplete or not represented in the PDF, and the current version may mislead readers. The work is therefore withdrawn to maintain clarity of the record

PolyWorkBench: Benchmarking LLM Agents for Cross-Lingual Long-Horizon Workflows

PolyWorkBench：多语言长视野语言模型智能体基准测试

Hongliang Li, Yijin Liu, Zhiwei Zhang, Zihe Liu, Xinyue Lou, Jinan Xu, Fandong Meng, Kaiyu Huang

机构 * Beijing Jiaotong University（北京交通大学） ； Weixin AI, Tencent Inc（腾讯微云人工智能实验室） 纠错

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

AI总结 研究多语言长视野工作流程中LLM智能体的表现，提出PolyWorkBench基准测试及结合多种评估方式的混合框架，发现最先进LLM智能体在多语言设置中性能降，强调联合建模语言变化和程序决策对智能体评估的重要性。

Comments 17 Pages, 5 figures

Decoupling Search from Reasoning: A Vendor-Agnostic Grounding Architecture for LLM Agents

将搜索与推理解耦：面向LLM Agent的供应商无关的接地架构

Emmanuel Aboah Boateng, Kyle MacDonald, Amardeep Kumar, Siddharth Kodwani, Sudeep Das

机构 * DoorDash, Inc.（DoorDash公司） 纠错

专题命中 规划决策 ：agent(title_cn,abstract_cn)；agentic(abstract)；分类 cs.AI、cs.CL

AI总结 提出解耦搜索接地（DSG）架构，将搜索接地从推理模型中分离，通过MCP兼容网关实现供应商路由、缓存等控制，在降低成本和延迟的同时保持或提升准确性。

Comments 15 pages, Figure 8

SWE-Marathon: Can Agents Autonomously Complete Ultra-Long-Horizon Software Work?

SWE-Marathon: 智能体能否自主完成超长时程软件工作？

Rishi Desai, Jesse Hu, Joan Cabezas, Neel Harsola, Pratyush Shukla, Roey Ben Chaim, Adnan El Assadi, Omkaar Mukund Kamath, Fenil Faldu, Prannay Hebbar, Jiankai Sun, Yiyuan Li, Pramod Srinivasan, Ishan Gupta, Christopher Settles, Daniel Wang, Derek Chen, Pranav Raja, Albert Liu, Marek Šuppa, Nevasini Sasikumar, Luyang Kong, Erik Quintanilla, Xiangyi Li, Ivan Bercovich, Steven Dillmann

机构 * Abundant ； Zenity ； Harvard University（哈佛大学） ； University of Waterloo（滑铁卢大学） ； Gujarat Technological University（古吉拉特技术大学） ； Warping ； Stanford University（斯坦福大学） ； UNC-Chapel Hill（北卡罗来纳大学教堂山分校） ； Independent（独立） ； Refresh ； Soleda AI ； Near AI ； Georgia Tech（佐治亚理工学院） ； Comenius University in Bratislava（布拉迪斯拉发Comenius大学） ； UC San Diego（圣地亚哥大学） ； BenchFlow ； UC Santa Barbara（圣巴巴拉大学） 纠错

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

AI总结 提出SWE-Marathon基准，包含20个超长时程任务，平均消耗2720万token，评估智能体在规划、长上下文理解和记忆方面的能力，当前前沿编码智能体解决率低于30%。

TIP: Token Importance in On-Policy Distillation

TIP: on-policy distillation 中的 token 重要性

Yuanda Xu, Hejian Sang, Zhengze Zhou, Ran He, Zhipeng Wang, Alborz Geramifard

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

AI总结 本研究探讨了在 on-policy 知识蒸馏中哪些 token 对学习信号最有用，提出了一种基于学生熵和教师-学生分歧的双轴分类方法，并通过实验验证了在有限内存条件下使用少量 token 进行蒸馏的有效性。