AI Agent

Ostrom-Weighted Bootstrap: A Theoretically Optimal and Provably Complete Framework for Hierarchical Imputation in Multi-Agent Systems

奥斯特罗姆加权Bootstrap：一种理论上最优且可证明完整的多智能体系统分层填补框架

Hirofumi Wakimoto

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

AI总结 OWB是一种基于重采样的方法，能够实现精确最优性、贝叶斯后验均值解释、经验贝叶斯收缩、渐近效率和零NaN保证，适用于多智能体系统的分层填补。

Comments 7 pages, initial submission

Toward Agentic AI: Task-Oriented Communication for Hierarchical Planning of Long-Horizon Tasks

迈向代理AI：面向长周期任务的分层规划任务导向通信

Sin-Yu Huang, Lele Wang, Vincent W. S. Wong

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

AI总结 本文提出HiTOC框架，通过分层任务导向通信提升长周期任务的规划效率，实现更高效的代理AI系统。

Comments Accepted by IEEE International Conference on Communications (ICC), Glasgow, UK, May 2026

M3: High-fidelity Text-to-Image Generation via Multi-Modal, Multi-Agent and Multi-Round Visual Reasoning

M3：通过多模态、多智能体和多轮视觉推理实现高保真的文本到图像生成

Bangji Yang, Ruihan Guo, Jiajun Fan, Chaoran Cheng, Ge Liu

机构 * University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） 纠错

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

AI总结 M3通过多智能体和多轮视觉推理提升开源模型的文本到图像生成能力，超越商业系统并实现最先进的性能。

"Having Lunch Now": Understanding How Users Engage with a Proactive Agent for Daily Planning and Self-Reflection

现在午餐时间

Adnan Abbas, Caleb Wohn, Arnav Jagtap, Eugenia H Rho, Young-Ho Kim, Sang Won Lee

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

AI总结 本文研究用户与主动代理的互动，探讨其在日常规划和自我反思中的作用，发现用户有不同反应模式并提出设计改进。

How Exploration Breaks Cooperation in Shared-Policy Multi-Agent Reinforcement Learning

探索如何在共享策略多智能体强化学习中破坏合作

Yi-Ning Weng, Hsuan-Wei Lee

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

AI总结 本研究揭示了共享策略多智能体强化学习中探索如何导致合作崩溃，指出参数耦合与部分可观测性引起的表示失败是根本原因。

Comments 38 pages, 9 figures

Hierarchical GNN-Based Multi-Agent Learning for Dynamic Queue-Jump Lane and Emergency Vehicle Corridor Formation

基于分层图神经网络的多智能体学习用于动态排队车道和应急车辆走廊形成

Haoran Su

机构 * New York University（纽约大学） 纠错

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

AI总结 本文提出基于分层图神经网络的多智能体学习框架，用于动态排队车道和应急车辆走廊形成，通过MAPPO训练在模拟中显著提升应急车辆通行效率并降低碰撞率。

Comments 16 Pages, 5 Figures, 9 Tables, submitted to IEEE TITS

Agent+P: Guiding UI Agents via Symbolic Planning

Agent+P: 通过符号规划引导UI代理

Shang Ma, Xusheng Xiao, Yanfang Ye

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

AI总结 AGENT+P通过符号规划引导UI代理，提升UI自动化任务的成功率和效率。

Understanding Multi-Agent Reasoning with Large Language Models for Cartoon VQA

通过大型语言模型理解多智能体推理用于漫画视觉问答

Tong Wu, Thanet Markchom

机构 * University of Reading（阅读大学） 纠错

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

AI总结 本文提出多智能体LLM框架，用于解决漫画图像中视觉抽象和叙事上下文的VQA问题，通过三个智能体协作提升推理能力。

MAPPO-LCR: Multi-Agent Proximal Policy Optimization with Local Cooperation Reward in Spatial Public Goods Games

MAPPO-LCR：在空间公共物品游戏中采用局部合作奖励的多智能体近端策略优化

Zhaoqilin Yang, Axin Xiang, Kedi Yang, Tianjun Liu, Youliang Tian

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

AI总结 MAPPO-LCR通过引入局部合作奖励，解决了空间公共物品游戏中个体收益耦合问题，提升了多智能体近端策略优化的群体协作能力。

A4-Agent: An Agentic Framework for Zero-Shot Affordance Reasoning

A4-Agent: 一种用于零样本 affordance 推理的代理框架

Zixin Zhang, Kanghao Chen, Hanqing Wang, Hongfei Zhang, Harold Haodong Chen, Chenfei Liao, Litao Guo, Ying-Cong Chen

机构 * HKUST(GZ)（香港科技大学（广州）） ； HKUST（香港科技大学） ； SJTU（上海交通大学） ； Knowin 纠错

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

AI总结 A4-Agent 提出一种无需训练的代理框架，通过三个阶段的流水线实现零样本 affordance 推理，优于现有监督方法。

LockForge: Automating Paper-to-Code for Logic Locking with Multi-Agent Reasoning LLMs

LockForge: 基于多智能体推理LLM的逻辑锁纸到代码自动化

Akashdeep Saha, Zeng Wang, Prithwish Basu Roy, Johann Knechtel, Ozgur Sinanoglu, Ramesh Karri

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

AI总结 LockForge通过多智能体推理LLM自动化将逻辑锁论文描述转换为可执行代码，解决可重复性难题，提供系统化验证框架和基准测试。

Aethorix v1.0: An Integrated Scientific AI Agent for Scalable Inorganic Materials Innovation and Industrial Implementation

Yingjie Shi, Yiru Gong, Yiqun Su, Suya Xiong, Jiale Han, Runtian Miao

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

DHLight: Multi-agent Policy-based Directed Hypergraph Learning for Traffic Signal Control

Zhen Lei, Zhishu Shen, Kang Wang, Zhenwei Wang, Tiehua Zhang

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

Comments Accepted by the 28th European Conference on Artificial Intelligence (ECAI 2025)

Don't Just Search, Understand: Semantic Path Planning Agent for Spherical Tensegrity Robots in Unknown Environments

Junwen Zhang, Changyue Liu, Pengqi Fu, Xiang Guo, Ye Shi, Xudong Liang, Zhijian Wang, Hanzhi Ma

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

Comments 8 pages, 5 figures

CogPlanner: Unveiling the Potential of Agentic Multimodal Retrieval Augmented Generation with Planning

Xiaohan Yu, Zhihan Yang, Chong Chen

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

Comments Accepted by SIGIR-AP 2025

PFEA: An LLM-based High-Level Natural Language Planning and Feedback Embodied Agent for Human-Centered AI

Wenbin Ding, Jun Chen, Mingjia Chen, Fei Xie, Qi Mao, Philip Dames

机构 * School of Electrical and Automation Engineering, Nanjing Normal University（南京师范大学电气与自动化工程学院） ； Department of Mechanical Engineering, Temple University（Temple大学机械工程系） 纠错

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

AudioGenie-Reasoner: A Training-Free Multi-Agent Framework for Coarse-to-Fine Audio Deep Reasoning

Yan Rong, Chenxing Li, Dong Yu, Li Liu

机构 * The Hong Kong University of Science and Technology (Guangzhou)（香港科学与技术大学（广州）） ； Tencent AI Lab（腾讯AI实验室） 纠错

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

Decoupling Correctness from Policy: A Deterministic Causal Structure for Multi-Agent Systems

Zhiyuan Ren, Tao Zhang, Wenchi Chen

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

UItron: Foundational GUI Agent with Advanced Perception and Planning

Zhixiong Zeng, Jing Huang, Liming Zheng, Wenkang Han, Yufeng Zhong, Lei Chen, Longrong Yang, Yingjie Chu, Yuzhi He, Lin Ma

机构 * Meituan（美团） 纠错

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

Comments 24 pages

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent

Aoqi Wang, Jiajia Liu, Jianguo Wen, Yangyang Luo, Zhiwei Fan, Liren Yang, Xi Hu, Ruihan Luo, Yankai Yu, Sophia Li, Weiling Zhao, Xiaobo Zhou

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

Language-Driven Policy Distillation for Cooperative Driving in Multi-Agent Reinforcement Learning

Jiaqi Liu, Chengkai Xu, Peng Hang, Jian Sun, Wei Zhan, Masayoshi Tomizuka, Mingyu Ding

机构 * Department of Computer Science at University of North Carolina at Chapel Hill（北卡罗来纳大学教堂山分校计算机科学系） ； College of Transportation and Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University（同济大学交通学院及交通工程教育部重点实验室） ； Department of Mechanical Engineering at the University of California, Berkeley（加州大学伯克利分校机械工程系） 纠错

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

Hierarchical Game-Based Multi-Agent Decision-Making for Autonomous Vehicles

Mushuang Liu, Yan Wan, Frank Lewis, Subramanya Nageshrao, H. Eric Tseng, Dimitar Filev

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

Comments 12 pages, 20 figures, 1 algorithm

Arbitrage Tactics in the Local Markets via Hierarchical Multi-agent Reinforcement Learning

Haoyang Zhang, Mina Montazeri, Philipp Heer, Koen Kok, Nikolaos G. Paterakis

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

LSTP-Nav: Lightweight Spatiotemporal Policy for Map-free Multi-agent Navigation with LiDAR

Xingrong Diao, Zhirui Sun, Jianwei Peng, Jiankun Wang

机构 * Shenzhen Key Laboratory of Robotics Perception and Intelligence（机器人感知与智能深圳重点实验室） ； Department of Electronic and Electrical Engineering（电子与电气工程系） ； Southern University of Science and Technology（南方科技大学） ； Jiaxing Research Institute（嘉兴研究所） 纠错

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

LightVA: Lightweight Visual Analytics with LLM Agent-Based Task Planning and Execution

Yuheng Zhao, Junjie Wang, Linbin Xiang, Xiaowen Zhang, Zifei Guo, Cagatay Turkay, Yu Zhang, Siming Chen

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

Journal ref IEEE Transactions on Visualization and Computer Graphics 2024

Hierarchical Multi-Agent Reinforcement Learning-based Coordinated Spatial Reuse for Next Generation WLANs

Jiaming Yu, Le Liang, Hao Ye, Shi Jin

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

ReSo: A Reward-driven Self-organizing LLM-based Multi-Agent System for Reasoning Tasks

Heng Zhou, Hejia Geng, Xiangyuan Xue, Li Kang, Yiran Qin, Zhiyong Wang, Zhenfei Yin, Lei Bai

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

DriveAgent: Multi-Agent Structured Reasoning with LLM and Multimodal Sensor Fusion for Autonomous Driving

Xinmeng Hou, Wuqi Wang, Long Yang, Hao Lin, Jinglun Feng, Haigen Min, Xiangmo Zhao

机构 * Chang’an University（长安大学） ； Agency for Science, Technology and Research (A*STAR)（科技研究局） ； University of California, Davis（加州大学戴维斯分校） ； CCNY Robotics Lab, The City College of New York（纽约城市学院机器人实验室） 纠错

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

Changing the Rules of the Game: Reasoning about Dynamic Phenomena in Multi-Agent Systems

Rustam Galimullin, Maksim Gladyshev, Munyque Mittelmann, Nima Motamed

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

Comments Extended version of the AAMAS 2025 paper of the same name. In this version, proof of Theorem 4.1 is corrected, and all new text is in blue. We want to thank Stéphane Demri for spotting the problem

Symmetric Policy Design for Multi-Agent Dispatch Coordination in Supply Chains

Sagar Sudhakara

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