AI Agent

Optimal task and motion planning and execution for human-robot multi-agent systems in dynamic environments

Marco Faroni, Alessandro Umbrico, Manuel Beschi, Andrea Orlandini, Amedeo Cesta, Nicola Pedrocchi

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, 6 figures, accepted for publication on IEEE Transactions on Cybernetics in March 2023

Planning for Complex Non-prehensile Manipulation Among Movable Objects by Interleaving Multi-Agent Pathfinding and Physics-Based Simulation

Dhruv Mauria Saxena, Maxim Likhachev

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

Comments Accepted for publication at the IEEE International Conference on Robotics and Automation (ICRA), 2023

Multi-robot Social-aware Cooperative Planning in Pedestrian Environments Using Multi-agent Reinforcement Learning

Zichen He, Chunwei Song, Lu Dong

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

Optimal Multi-Agent Path Finding for Precedence Constrained Planning Tasks

Kushal Kedia, Rajat Kumar Jenamani, Aritra Hazra, Partha Pratim Chakrabarti

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

SympOCnet: Solving optimal control problems with applications to high-dimensional multi-agent path planning problems

Tingwei Meng, Zhen Zhang, Jérôme Darbon, George Em Karniadakis

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

Comprehensive Multi-Agent Epistemic Planning

Francesco Fabiano

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

Comments In Proceedings ICLP 2021, arXiv:2109.07914. arXiv admin note: substantial text overlap with arXiv:1909.08259

Journal ref EPTCS 345, 2021, pp. 248-257

Polynomial-Time Algorithms for Multi-Agent Minimal-Capacity Planning

Murat Cubuktepe, František Blahoudek, Ufuk Topcu

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

Comments Submitted to TCNS

Scalable Anytime Planning for Multi-Agent MDPs

Shushman Choudhury, Jayesh K. Gupta, Peter Morales, Mykel J. Kochenderfer

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

Comments First two authors contributed equally. Accepted at AAMAS 2021

Modelling Multi-Agent Epistemic Planning in ASP

Alessandro Burigana, Francesco Fabiano, Agostino Dovier, Enrico Pontelli

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

Comments Paper presented at the 36th International Conference on Logic Programming (ICLP 2019), University Of Calabria, Rende (CS), Italy, September 2020, 16 pages

Journal ref Theory and Practice of Logic Programming 20 (2020) 593-608

Design of a Solver for Multi-Agent Epistemic Planning

Francesco Fabiano

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

Comments In Proceedings ICLP 2019, arXiv:1909.07646. arXiv admin note: text overlap with arXiv:1511.01960 by other authors

Journal ref EPTCS 306, 2019, pp. 403-412

Lifelong Path Planning with Kinematic Constraints for Multi-Agent Pickup and Delivery

Hang Ma, Wolfgang Hönig, T. K. Satish Kumar, Nora Ayanian, Sven Koenig

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

Comments AAAI 2019

Privacy Preserving Multi-Agent Planning with Provable Guarantees

Amos Beimel, Ronen I. Brafman

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

Cooperative Multi-Agent Planning: A Survey

Alejandro Torreño, Eva Onaindia, Antonín Komenda, Michal Štolba

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

Comments 34 pages, 4 figures, 4 tables

Journal ref ACM Computing Surveys, Volume 50, Number 6, Article 84. Publication date: November 2017

Cooperative Epistemic Multi-Agent Planning for Implicit Coordination

Thorsten Engesser, Thomas Bolander, Robert Mattmüller, Bernhard Nebel

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

Comments In Proceedings M4M9 2017, arXiv:1703.01736

Journal ref EPTCS 243, 2017, pp. 75-90

A Flexible Coupling Approach to Multi-Agent Planning under Incomplete Information

Alejandro Torreño, Eva Onaindia, Óscar Sapena

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

Comments 40 pages, 10 figures

Journal ref Knowledge and Information Systems, Volume 38, Issue 1, pp. 141-178, Year 2014

FMAP: Distributed Cooperative Multi-Agent Planning

Alejandro Torreño, Eva Onaindia, Óscar Sapena

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, 11 figures

Journal ref Applied Intelligence, Volume 41, Issue 2, pp. 606-626, Year 2014

Learning of Agent Capability Models with Applications in Multi-agent Planning

Yu Zhang, Subbarao Kambhampati

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

A Formal Analysis of Required Cooperation in Multi-agent Planning

Yu Zhang, Subbarao Kambhampati

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

MAPP: a Scalable Multi-Agent Path Planning Algorithm with Tractability and Completeness Guarantees

Ko-Hsin Cindy Wang, Adi Botea

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

Journal ref Journal Of Artificial Intelligence Research, Volume 42, pages 55-90, 2011

Distributed Planning with Asynchronous Execution with Local Navigation for Multi-agent Pickup and Delivery Problem

Yuki Miyashita, Tomoki Yamauchi, Toshiharu Sugawara

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

Comments 11 pages, 12 figures. Accepted in AAMAS 2023 (The 22nd International Conference on Autonomous Agents and Multiagent Systems)

Agentic Web: Weaving the Next Web with AI Agents

Yingxuan Yang, Mulei Ma, Yuxuan Huang, Huacan Chai, Chenyu Gong, Haoran Geng, Yuanjian Zhou, Ying Wen, Meng Fang, Muhao Chen, Shangding Gu, Ming Jin, Costas Spanos, Yang Yang, Pieter Abbeel, Dawn Song, Weinan Zhang, Jun Wang

机构 * Shanghai Jiao Tong University（上海交通大学） ； The Hong Kong University of Science and Technology（香港科技大学） ； University of Liverpool（利物浦大学） ； University of California Berkeley（加州大学伯克利分校） ； Shanghai Innovation Institute（上海创新研究院） ； University of California Davis（加州大学戴维斯分校） ； Virginia Tech（弗吉尼亚理工大学） ； University College London（伦敦大学学院） 纠错

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

In-the-Flow Agentic System Optimization for Effective Planning and Tool Use

用于有效规划和工具使用的流内智能体系统优化

Zhuofeng Li, Haoxiang Zhang, Seungju Han, Sheng Liu, Jianwen Xie, Yu Zhang, Yejin Choi, James Zou, Pan Lu

机构 * Stanford University（斯坦福大学） ； Texas A&M University（德克萨斯农工大学） ； UC San Diego（圣地亚哥大学） ； Lambda Website（Lambda网站） 纠错

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

AI总结 研究针对大语言模型中工具增强方法的不足，提出可训练的流内智能体框架AgentFlow及Flow-GRPO训练方法，通过协调模块优化规划器，在多基准测试中表现优异，展现流内优化优势。

Comments 47 pages, 12 figures. ICLR 2026 Oral. Project website: https://agentflow.stanford.edu/

Multi-Agent Route Planning as a QUBO Problem

多智能体路径规划作为QUBO问题

Renáta Rusnáková, Martin Chovanec, Juraj Gazda

机构 * Department of Computers and Informatics, Faculty of Electrical Engineering and Informatics, Technical University of Košice（科希策技术大学电气工程与信息学院计算机与信息学系） 纠错

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

AI总结 本文将多智能体路径规划问题建模为QUBO问题，通过证明其NP难性并推导出编码路线效用奖励和配对重叠惩罚的二次无约束二进制优化公式，探讨了覆盖与重叠的权衡策略。

When Evidence is Sparse: Weakly Supervised Early Failure Alerting in Dialogs and LLM-Agent Trajectories

当证据稀疏时：对话和LLM-Agent轨迹中的弱监督早期失败预警

Avinash Baidya, Xinran Liang, Ruocheng Guo, Xiang Gao, Kamalika Das

机构 * Intuit AI Research（Intuit AI研究院） ； Princeton University（普林斯顿大学） 纠错

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

AI总结 针对对话和LLM-Agent轨迹中早期失败预警问题，提出一种两阶段方法，通过注意力机制从稀疏的轨迹级标签中学习回合级失败证据，并结合α-STOP策略实现可控的早期预警，在多个基准上显著提升帕累托前沿质量并降低训练成本。

Comments 9 pages, 14 figures, and appendix

Multi-Agent Temporal Logic Planning via Penalty Functions and Block-Coordinate Optimization

基于惩罚函数和块坐标优化的多主体时序逻辑规划

Eleftherios E. Vlahakis, Arash Bahari Kordabad, Lars Lindemann, Pantelis Sopasakis, Sadegh Soudjani, Dimos V. Dimarogonas

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

AI总结 针对信号时序逻辑下的多主体规划问题，提出基于惩罚函数的无约束松弛和块坐标梯度下降法，实现可扩展的协同规划。

Comments Submitted to L-CSS

Agent-ToM: Learning to Monitor Autonomous LLM Agents via Theory-of-Mind Reasoning

Agent-ToM: 通过心智理论推理学习监控自主LLM智能体

Nesreen K. Ahmed, Nima Nafisi

机构 * Cisco Outshift（思科Outshift） 纠错

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

AI总结 针对自主LLM智能体的隐蔽恶意行为监控难题，提出基于心智理论推理的Agent-ToM框架，通过信念推断、意图假设与验证实现结构化轨迹分析，在监控基准上取得优于集成方法的性能。

Comments 23 pages, 9 figures

AID: Agent Intent from Diffusion for Multi-Agent Informative Path Planning

AID: 从扩散模型中获取代理意图用于多代理信息路径规划

Jeric Lew, Yuhong Cao, Derek Ming Siang Tan, Guillaume Sartoretti

机构 * 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 规划决策 ：agent(title,abstract)；planning(title,abstract)；multi-agent(title,abstract)

AI总结 本文提出AID框架，利用扩散模型生成非自回归长时轨迹，通过行为克隆和强化学习优化，提升多代理信息路径规划效率与信息获取能力。

Decoupling Geometric Planning and Execution in Scalable Multi-Agent Path Finding

解耦几何规划与执行的可扩展多智能体路径寻找

Fernando Salanova, Eduardo Montijano, Cristian Mahulea

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

AI总结 本文提出一种混合优先级框架，将几何规划与执行时的冲突解决解耦，通过几何冲突预emption和去中心化局部控制器实现高效多智能体路径寻找，实验表明方法在大规模实例中具有线性运行时间趋势和100%成功率。

Comments 6 pages, 3 figures, WODES conference paper

Collaborative Task and Path Planning for Heterogeneous Robotic Teams using Multi-Agent PPO

异构机器人团队协同任务与路径规划的多智能体PPO方法

Matthias Rubio, Julia Richter, Hendrik Kolvenbach, Marco Hutter

机构 * Robotic Systems Lab (RSL), ETH Zürich（苏黎世联邦理工学院机器人系统实验室（RSL）） 纠错

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

AI总结 本文提出基于多智能体PPO的协同规划策略，用于解决复杂的目标分配与调度问题，通过对比穷举搜索得到的单目标最优解，评估其在行星探索场景中的在线重规划能力。

Comments 8 pages, 3 figures, associated code on https://github.com/leggedrobotics/multi_robot_global_planner

Collisionless Multi-Agent Path Planning in the Hamilton-Jacobi Formulation

无碰撞多智能体路径规划的哈密顿-雅可比形式化

Christian Parkinson, Adan Baca, Huy Nguyen

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

AI总结 本文提出基于哈密顿-雅可比-贝尔曼方程的无碰撞多智能体路径规划方法，采用变分形式的数值方法解决高维问题，适用于异构智能体和高维动态系统，通过对偶混合梯度优化方案实现最优轨迹求解。