AI Agent

Cutscene Agent: An LLM Agent Framework for Automated 3D Cutscene Generation

Cutscene Agent：一种用于自动化3D场景生成的LLM代理框架

Lanshan He, Haozhou Pang, Qi Gan, Xin Shen, Ziwei Zhang, Yibo Liu, Gang Fang, Bo Liu, Kai Sheng, Shengfeng Zeng, Chaofan Li, Zhen Hui, Keer Zhou, Lan Zhou, Shujun Dai

机构 * Kuaishou GameMind Lab（快手游戏大脑实验室） 纠错

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

AI总结 本文提出Cutscene Agent框架，通过双向集成LLM代理与游戏引擎，实现多代理协作生成可编辑的电影化3D内容，并构建了针对长周期多步骤协作的评估基准。

Comments 27 pages excluding appendix

HiMAP-Travel: Hierarchical Multi-Agent Planning for Long-Horizon Constrained Travel

HiMAP-Travel: 基于长时域约束旅行的分层多智能体规划

The Viet Bui, Wenjun Li, Yong Liu

机构 * Department of XXX, University of YYY, Location, Country（YYY大学XXX系） ； School of ZZZ, Institute of WWW, Location, Country（WWW研究所ZZZ学院） ； Singapore Management University（新加坡管理大学） 纠错

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

AI总结 HiMAP-Travel通过分层多智能体框架提升长时域约束旅行规划效率，实现更高通过率和更低延迟。

Comments 33 pages, v1

IMAGINE: Integrating Multi-Agent System into One Model for Complex Reasoning and Planning

IMAGINE：将多智能体系统整合到一个模型中以实现复杂推理和规划

Xikai Zhang, Bo Wang, Likang Xiao, Yongzhi Li, Quan Chen, Wenjun Wu, Liu Liu

机构 * Hangzhou International Innovation Institute, Beihang University（北京航空航天大学杭州国际创新研究院） ； School of Artificial Intelligence, Beihang University（北京航空航天大学人工智能学院） ； Kuaishou Technology（快手科技） 纠错

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

AI总结 IMAGINE通过整合多智能体系统的推理与规划能力，实现高效复杂推理和规划，实验显示其在TravelPlanner任务中表现优异。

Multi-Robot Path Planning Combining Heuristics and Multi-Agent Reinforcement Learning

结合启发式方法和多智能体强化学习的多机器人路径规划

Shaoming Peng

机构 * School of Artificial Intelligence University of Chinese Academy of Sciences（人工智能学院 中国科学院大学） 纠错

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

AI总结 本文提出MAPPOHR方法，结合启发式搜索与多智能体强化学习，提升多机器人路径规划效率与性能。

EvoMem: Improving Multi-Agent Planning with Dual-Evolving Memory

EvoMem：通过双进化记忆提升多智能体规划

Wenzhe Fan, Ning Yan, Masood Mortazavi

机构 * University of Illinois Chicago（伊利诺伊大学芝加哥分校） ； Futurewei Technologies（未来科技） 纠错

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

AI总结 EvoMem通过双进化记忆机制提升多智能体规划，利用约束记忆和查询反馈记忆模块优化约束跟踪与错误修正，实现旅行、会议和日历任务的性能提升。

GAP: Graph-Based Agent Planning with Parallel Tool Use and Reinforcement Learning

Jiaqi Wu, Qinlao Zhao, Zefeng Chen, Kai Qin, Yifei Zhao, Xueqian Wang, Yuhang Yao

机构 * Tsinghua University（清华大学） ； Huazhong University of Science and Technology（华中科技大学） ； National University of Singapore（新加坡国立大学） ； Carnegie Mellon University（卡内基梅隆大学） 纠错

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

A Data-Driven Discretized CS:GO Simulation Environment to Facilitate Strategic Multi-Agent Planning Research

Yunzhe Wang, Volkan Ustun, Chris McGroarty

机构 * USC Institute for Creative Technologies（USC创意技术研究所） ； Dept. of Computer Science University of Southern California（计算机科学系大学南加州大学） ； U.S. Army Combat Capabilities Development Command（美国陆军作战能力发展指挥部） 纠错

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

Comments Accepted at the Winter Simulation Conference 2025, December, Seattle USA

TwoStep: Multi-agent Task Planning using Classical Planners and Large Language Models

David Bai, Ishika Singh, David Traum, Jesse Thomason

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

Comments 14 pages

LaMMA-P: Generalizable Multi-Agent Long-Horizon Task Allocation and Planning with LM-Driven PDDL Planner

Xiaopan Zhang, Hao Qin, Fuquan Wang, Yue Dong, Jiachen Li

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

Comments IEEE Conference on Robotics and Automation (ICRA 2025); Project website: https://lamma-p.github.io/

Agent-Oriented Planning in Multi-Agent Systems

Ao Li, Yuexiang Xie, Songze Li, Fugee Tsung, Bolin Ding, Yaliang Li

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

Comments Accepted by ICLR'2025

Comparative Analysis of Multi-Agent Reinforcement Learning Policies for Crop Planning Decision Support

Anubha Mahajan, Shreya Hegde, Ethan Shay, Daniel Wu, Aviva Prins

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

MASP: Scalable GNN-based Planning for Multi-Agent Navigation

Xinyi Yang, Xinting Yang, Chao Yu, Jiayu Chen, Wenbo Ding, Huazhong Yang, Yu Wang

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

Comments Submitted to IEEE RA-L

Efficient Multi-agent Reinforcement Learning by Planning

Qihan Liu, Jianing Ye, Xiaoteng Ma, Jun Yang, Bin Liang, Chongjie Zhang

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

Comments ICLR2024

MANER: Multi-Agent Neural Rearrangement Planning of Objects in Cluttered Environments

Vivek Gupta, Praphpreet Dhir, Jeegn Dani, Ahmed H. Qureshi

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

Comments The videos and supplementary material are available at https://sites.google.com/view/maner-supplementary

Journal ref Published in IEEE Robotics and Automation Letters, vol. 8, no. 12, pp. 8295-8302, Dec. 2023

Safe multi-agent motion planning under uncertainty for drones using filtered reinforcement learning

Sleiman Safaoui, Abraham P. Vinod, Ankush Chakrabarty, Rien Quirynen, Nobuyuki Yoshikawa, Stefano Di Cairano

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

Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning

Hyunwook Kang, Taehwan Kwon, Jinkyoo Park, James R. Morrison

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

Journal ref Neural Information Processing Systems (NeurIPS) 2022

Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning

Xuechen Mu, Hankz Hankui Zhuo, Chen Chen, Kai Zhang, Chao Yu, Jianye Hao

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

Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning

Volodymyr Tkachuk, Seyed Alireza Bakhtiari, Johannes Kirschner, Matej Jusup, Ilija Bogunovic, Csaba Szepesvári

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

Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality

Chenning Yu, Qingbiao Li, Sicun Gao, Amanda Prorok

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

Comments Accepted by ICRA 2023

Long Short-Term Memory for Spatial Encoding in Multi-Agent Path Planning

Marc R. Schlichting, Stefan Notter, Walter Fichter

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

Comments For associated source code, see https://github.com/MarcSchlichting/LSTMSpatialEncoding , For associated video of flight test, see https://schlichting.page.link/lstm_flight_test , 17 pages, 11 figures

Journal ref AIAA Journal of Guidance, Control, and Dynamics, March 2022

Multi-Agent Path Planning Using Deep Reinforcement Learning

Mert Çetinkaya

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

MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments

Zuxin Liu, Baiming Chen, Hongyi Zhou, Guru Koushik, Martial Hebert, Ding Zhao

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

Comments 6 pages, accepted at the 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020)

CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces

Keisuke Okumura, Ryo Yonetani, Mai Nishimura, Asako Kanezaki

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

Comments To appear in the International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022)

Efficient Multi-agent Epistemic Planning: Teaching Planners About Nested Belief

Christian Muise, Vaishak Belle, Paolo Felli, Sheila McIlraith, Tim Miller, Adrian R. Pearce, Liz Sonenberg

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

Comments Published in Special Issue of the Artificial Intelligence Journal (AIJ) on Epistemic Planning

Adaptive Domain Modeling with Language Models: A Multi-Agent Approach to Task Planning

Harisankar Babu, Philipp Schillinger, Tamim Asfour

机构 * Bosch Center for Artificial Intelligence（博世人工智能中心） ； Karlsruhe Institute of Technology（卡尔斯鲁厄理工学院） 纠错

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

Comments Accepted at IEEE CASE 2025, 8 pages, 8 figures

Journal ref 2025 IEEE 21st International Conference on Automation Science and Engineering (CASE), 2025, pp. 1701-1708

AOHP: An Open-Source OS-Level Agent Harness for Personalized, Efficient and Secure Interaction

AOHP：一个用于个性化、高效和安全交互的开源操作系统级Agent框架

Shanhui Zhao, Jiacheng Liu, Guohong Liu, Jichao Yan, Jialei Ye, Yuhao Yang, Hao Wen, Shizuo Tian, Yizhen Yuan, Yuxuan Chen, Yunxin Liu, Ju Ren, Ya-Qin Zhang, Chao Huang, Yao Guo, Yuanchun Li

机构 * Tsinghua University（清华大学） ； Peking University（北京大学） ； The University of Hong Kong（香港大学） 纠错

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

AI总结 提出AOHP，一个基于AOSP的操作系统级Agent框架，通过将Agent视为一等OS参与者，实现个性化服务组合、高效Agent接口和安全信息流，在任务完成率、令牌成本和策略合规性上优于现有系统。

Comments 17 pages, 3 figures

EChO-Agent: Evidence Chain Orchestration Agent for Audio Reasoning

EChO-Agent: 用于音频推理的证据链编排智能体

Siyuan Zhang, Jian Zong, Junyu Wang, Peiyuan Jiang, Jiahao Yan, Jingyu Zhang, Tianrui Wang, Xiaobao Wang, Longbiao Wang, Jianwu Dang

机构 * School of Artificial Intelligence, Tianjin University（天津大学人工智能学院） 纠错

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

AI总结 提出EChO-Agent模块化框架，将复杂音频问答转化为规划、工具执行、证据整合和答案验证流程，在MMAR基准上提升准确率和评分。

Comments 5 pages, 2 figures. Accepted by Interspeech 2026

Learning-guided Prioritized Planning for Lifelong Multi-Agent Path Finding in Warehouse Automation

基于学习的优先规划在仓库自动化中的终身多智能体路径寻找

Han Zheng, Yining Ma, Brandon Araki, Jingkai Chen, Cathy Wu

机构 * Massachusetts Institute of Technology（麻省理工学院） 纠错

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

AI总结 本文提出RL-RH-PP框架，结合强化学习与搜索规划，提升仓库自动化中多智能体路径寻找的效率与适应性。

Journal ref Journal of Artificial Intelligence Research, Vol. 85, Article 28. Publication date: March 2026

Boltzmann-based Exploration for Robust Decentralized Multi-Agent Planning (Extended Version)

基于玻尔兹曼的探索用于鲁棒的去中心化多智能体规划（扩展版）

Nhat D. A. Nguyen, Duong D. Nguyen, Gianluca Rizzo, Hung X. Nguyen

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

AI总结 本文提出CB-MCTS，通过玻尔兹曼策略和熵奖励提升多智能体规划的鲁棒性，在欺骗场景中表现更优。

Comments To appear in ICAPS 2026

ELHPlan: Efficient Long-Horizon Task Planning for Multi-Agent Collaboration

ELHPlan: 为多智能体协作的高效长周期任务规划

Shaobin Ling, Yun Wang, Chenyou Fan, Tin Lun Lam, Junjie Hu

机构 * The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳）） ； City University of Hong Kong（香港城市大学） ； South China Normal University（华南师范大学） 纠错

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

AI总结 ELHPlan通过引入意图绑定的动作链，实现多智能体协作中的高效长周期任务规划，提升适应性与效率，实验表明其在任务成功率与令牌消耗方面表现优异。