AI Agent

Order Matters: Generating Progressive Explanations for Planning Tasks in Human-Robot Teaming

Mehrdad Zakershahrak, Shashank Rao Marpally, Akshay Sharma, Ze Gong, Yu Zhang

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

Comments arXiv admin note: text overlap with arXiv:1902.00604

A Variational Perturbative Approach to Planning in Graph-based Markov Decision Processes

Dominik Linzner, Heinz Koeppl

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

Dynamic Term-Modal Logics for First-Order Epistemic Planning

Andrés Occhipinti Liberman, Andreas Achen, Rasmus Kræmmer Rendsvig

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

Nested Reasoning About Autonomous Agents Using Probabilistic Programs

Iris Rubi Seaman, Jan-Willem van de Meent, David Wingate

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

SPA: Verbal Interactions between Agents and Avatars in Shared Virtual Environments using Propositional Planning

Andrew Best, Sahil Narang, Dinesh Manocha

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

Path Planning Games

Yi Li, Yevgeniy Vorobeychik

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

Dynamic Real-time Multimodal Routing with Hierarchical Hybrid Planning

Shushman Choudhury, Jacob P. Knickerbocker, Mykel J. Kochenderfer

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

Comments 8 pages, 8 figures, Accepted to Intelligent Vehicles (IV) Symposium 2019

Reachability and Coverage Planning for Connected Agents: Extended Version

Tristan Charrier, Arthur Queffelec, Ocan Sankur, François Schwarzentruber

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

Efficient Evolutionary Methods for Game Agent Optimisation: Model-Based is Best

Simon M. Lucas, Jialin Liu, Ivan Bravi, Raluca D. Gaina, John Woodward, Vanessa Volz, Diego Perez-Liebana

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

Comments 8 pages, to appear in 2019 AAAI workshop on Games and Simulations for Artificial Intelligence ( https://www.gamesim.ai/ )

Assumption-Based Planning

Damien Pellier, Humbert Fiorino

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

Journal ref Proceedings of the International Conference on Advances in Intelligence Systems Theory and Applications (AISTA), 2004, November, pages 367-376, Luxembourg-Kirchberg, Luxembourg

A Gentle Introduction to Epistemic Planning: The DEL Approach

Thomas Bolander

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

Comments In Proceedings M4M9 2017, arXiv:1703.01736

Journal ref EPTCS 243, 2017, pp. 1-22

Teleo-Reactive Programs for Agent Control

N. Nilsson

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

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

Journal ref Journal of Artificial Intelligence Research, Vol 1, (1994), 139-158

Interactive POMDP Lite: Towards Practical Planning to Predict and Exploit Intentions for Interacting with Self-Interested Agents

Trong Nghia Hoang, Kian Hsiang Low

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

Comments 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), Extended version with proofs, 24 pages

OBDD-based Universal Planning for Synchronized Agents in Non-Deterministic Domains

R. M. Jensen, M. M. Veloso

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

Journal ref Journal Of Artificial Intelligence Research, Volume 13, pages 189-226, 2000

Real-time motion planning and decision-making for a group of differential drive robots under connectivity constraints using robust MPC and mixed-integer programming

Angelo Caregnato-Neto, Marcos Ricardo Omena de Albuquerque Maximo, Rubens Junqueira Magalhães Afonso

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

Comments Submitted to Advanced Robotics special issue on Online Motion Planning and Model Predictive Control

Towards computing low-makespan solutions for multi-arm multi-task planning problems

Valentin N. Hartmann, Marc Toussaint

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

Comments Workshop for Planning and Robotics (PlanRob), International Conference on Automated Planning and Scheduling (ICAPS), 2023

PiP: Planning-informed Trajectory Prediction for Autonomous Driving

Haoran Song, Wenchao Ding, Yuxuan Chen, Shaojie Shen, Michael Yu Wang, Qifeng Chen

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

Comments European Conference on Computer Vision (ECCV) 2020; Project page at http://haoran-song.github.io/planning-informed-prediction

A Framework for Constrained and Adaptive Behavior-Based Agents

一种用于约束和自适应行为基 agent 的框架

Renato de Pontes Pereira, Paulo Martins Engel

专题命中 规划决策 ：agent(title_cn,summary_cn)；分类 cs.AI、cs.LG

AI总结 本文提出一种框架，通过强化学习节点整合到行为树中，解决约束 agent 的学习能力问题，并展示其与分层强化学习选项的关系，确保嵌套学习节点的收敛性。

Comments 2015; 15 pages

Cerberus: Multi-Agent Reasoning and Coverage-Guided Exploration for Static Detection of Runtime Errors

Cerberus：多智能体推理与覆盖引导探索用于运行时错误的静态检测

Hridya Dhulipala, Xiaokai Rong, Tien N. Nguyen

机构 * University of Texas at Dallas（德克萨斯大学达拉斯分校） 纠错

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

AI总结 Cerberus通过多智能体推理和覆盖引导探索，实现无执行的运行时错误静态检测，提高测试效率和错误发现能力。

An Adaptive, Data-Integrated Agent-Based Modeling Framework for Explainable and Contestable Policy Design

一种适应性强且数据集成的基于代理的建模框架，用于可解释且可争议的政策设计

Roberto Garrone

机构 * Faculty of Pure and Applied Sciences Open University of Cyprus（塞浦路斯开放大学纯科学与应用科学学院） 纠错

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

AI总结 本文提出了一种适应性强且数据集成的基于代理的建模框架，用于可解释且可争议的政策设计，通过整合动态制度、信息论诊断、结构因果模型等方法，实现对多代理系统动态行为的系统分析与比较。

Comments 27 pages, 2 case studies (emissions and smart grids). Preprint prepared during the author's PhD research at the Open University of Cyprus and the University of Milano-Bicocca. Introduces a unified framework for adaptive multi-agent learning with information-theoretic, causal, and clustering diagnostics

SFR-DeepResearch: Towards Effective Reinforcement Learning for Autonomously Reasoning Single Agents

Xuan-Phi Nguyen, Shrey Pandit, Revanth Gangi Reddy, Austin Xu, Silvio Savarese, Caiming Xiong, Shafiq Joty

机构 * Salesforce AI Research（Salesforce AI研究院） 纠错

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

Comments Technical Report

Project Riley: Multimodal Multi-Agent LLM Collaboration with Emotional Reasoning and Voting

Ana Rita Ortigoso, Gabriel Vieira, Daniel Fuentes, Luis Frazão, Nuno Costa, António Pereira

机构 * Polytechnic University of Leiria（莱里亚理工大学） 纠错

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

Comments 28 pages, 5 figures. Submitted for review to Information Fusion

Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center Clusters

Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Vineet Gundecha, Ricardo Luna Gutierrez, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Desik Rengarajan, Cullen Bash

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

Flow-DPO: Improving LLM Mathematical Reasoning through Online Multi-Agent Learning

Yihe Deng, Paul Mineiro

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

Comments 5 pages, 4 figures, 1 table

Multi-Agent Reinforcement Learning with Common Policy for Antenna Tilt Optimization

Adriano Mendo, Jose Outes-Carnero, Yak Ng-Molina, Juan Ramiro-Moreno

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

Comments 7 pages and 13 figures, submitted to IAENG International Journal of Computer Science for publication consideration. The paper has been accepted with minor changes. This is the latest submitted version

Reason-Plan-ReAct: A Reasoner-Planner Supervising a ReAct Executor for Complex Enterprise Tasks

原因-计划-行动：一种监督ReAct执行器的推理-规划器用于复杂企业任务

Gianni Molinari, Fabio Ciravegna

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

AI总结 RP-ReAct通过分离战略规划与低层执行，提升企业复杂任务处理的可靠性和效率。

Comments 11 pages, 1 figure, 2 tables, Workshop AAAI 2026 agentic AI Benchmarks and Applications for Enterprise Tasks

Distributed Trajectory Planning and Resource Allocation for Dynamic Multi-UAV Collaborative Computing

面向动态多无人机协同计算的分布式轨迹规划与资源分配

Tiankui Zhang, Wenlong Xu, Tianyi Shi, Xiaoxia Xu, Arumugam Nallanathan

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

AI总结 本文针对动态参与的多无人机协同计算场景，构建分布式MEC框架，基于斯塔克尔伯格博弈联合优化轨迹与资源，提出分层MADRL算法，仿真显示其能提升无人机效率、降低移动终端开销且适配不同网络规模。

ArtiMo: Agent-Driven Articulated Mesh Animation

ArtiMo：智能体驱动的关节网格动画

Chunyu Zou, Peng Dai, Yi-Hua Huang, Ze Yuan, Jingwei Huang, Yeming Yao, Xiaojuan Qi

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

AI总结 ArtiMo是一种智能体驱动的零样本框架，结合URDF运动学约束与LLMs/VLMs，生成文本引导的关节网格动画，通过视觉自改进机制修正错误，在新基准数据集上优于基线。

Planning Against Learning in Rank-1 Games

在秩-1博弈中针对学习的规划

William Overman

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

AI总结 该研究针对满足$\text{rank}(A+B)=1$的双矩阵博弈，证明其纳什均衡可多项式时间计算，但针对学习动态的最优规划是NP困难的，区分了高效均衡计算与策略规划。

Physically Constrained Agentic AI for Energy Scheduling

面向能源调度的物理约束智能体AI

Dafnag Zhao, Yang Deng, Zhengmao Li

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

AI总结 该研究提出分层式ReAct能源管理系统，通过分离物理授权与语言生成，实现智能体能源调度，在Qwen 3.5检查点上验证了多模型耦合调度的可行性与成本表现。

Comments 5 pages, 2 fiugres, IEEE PES IM