AI Agent

ChargingBoul: A Competitive Negotiating Agent with Novel Opponent Modeling

ChargingBoul：一种具有新颖对手建模的竞争性谈判代理

Joe Shymanski

机构 * Joe Shymanski（独立研究者） 纠错

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

AI总结 ChargingBoul通过平衡让步与对手建模，在自动化谈判竞赛中取得优异成绩，展示了其在多策略对手环境中的高效谈判能力。

Comments 10 pages, 3 figures. Describes the ChargingBoul negotiating agent submitted to ANAC 2022. Preprint

A Roadmap to Guide the Integration of LLMs in Hierarchical Planning

引导大型语言模型在分层规划中整合的路线图

Israel Puerta-Merino, Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares

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

AI总结 本文提出了一条引导大型语言模型在分层规划中整合的路线图，通过分类整合方法和建立基准测试，探索LLMs在分层规划中的应用潜力。

Comments 5 pages, 0 figures, to be published in the AAAI Workshop on Planning in the Era of LLMs ( https://llmforplanning.github.io )

Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models

Vlad Sobal, Wancong Zhang, Kyunghyun Cho, Randall Balestriero, Tim G. J. Rudner, Yann LeCun

机构 * New York University（纽约大学） ； Genentech（基因泰克） ； Brown University（布朗大学） ； University of Toronto（多伦多大学） ； Meta – FAIR 纠错

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

Comments Project web page: https://latent-planning.github.io/

NL2Plan: Robust LLM-Driven Planning from Minimal Text Descriptions

Elliot Gestrin, Marco Kuhlmann, Jendrik Seipp

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

Comments Accepted for the ICAPS 2024 Workshop on Human-Aware and Explainable Planning

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning

Matthew Lai, Keegan Go, Zhibin Li, Torsten Kroger, Stefan Schaal, Kelsey Allen, Jonathan Scholz

机构 * Google DeepMind（谷歌DeepMind） ； University College London（伦敦大学学院） ； Intrinsic 纠错

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

Comments Published in Science Robotics

Journal ref RoboBallet: Planning for multirobot reaching with graph neural networks and reinforcement learning. Sci. Robot. 10, eads1204(2025)

Urban Comfort Assessment in the Era of Digital Planning: A Multidimensional, Data-driven, and AI-assisted Framework

Sijie Yang, Binyu Lei, Filip Biljecki

机构 * Department of Architecture, National University of Singapore（新加坡国立大学建筑系） ； School of Engineering and Applied Science, University of Pennsylvania（宾夕法尼亚大学工程与应用科学学院） ； Department of Real Estate, National University of Singapore（新加坡国立大学房地产系） 纠错

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

Comments Presented at 19th International Conference on Computational Urban Planning and Urban Management (CUPUM 2025)

From Heuristics to Data: Quantifying Site Planning Layout Indicators with Deep Learning and Multi-Modal Data

Qian Cao, Jielin Chen, Junchao Zhao, Rudi Stouffs

机构 * National University of Singapore (NUS)（新加坡国立大学） ； The Cambridge Centre for Advanced Research and Education in Singapore (CARES)（新加坡剑桥高级研究与教育中心） ； China Southwest Architectural Design and Research Institute Co., Ltd. (CSWADI)（中国西南建筑规划设计研究院有限公司） 纠错

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

Comments 42 pages, 32 figures, submitted to Environment and Planning B: Urban Analytics and City Science

Towards MR-Based Trochleoplasty Planning

Michael Wehrli, Alicia Durrer, Paul Friedrich, Sidaty El Hadramy, Edwin Li, Luana Brahaj, Carol C. Hasler, Philippe C. Cattin

机构 * Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland（巴塞尔大学生物医学工程系） ； Olten Cantonal Hospital, Olten, Switzerland（奥尔滕县医院） ； Department of Orthopedics, University Children's Hospital Basel, Basel, Switzerland（巴塞尔大学儿童医院骨科部） 纠错

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

Comments Accepted at MICCAI COLAS Workshop 2025. Code: https://wehrlimi.github.io/sr-3d-planning/

Capacity Planning and Scheduling for Jobs with Uncertainty in Resource Usage and Duration

Sunandita Patra, Mehtab Pathan, Mahmoud Mahfouz, Parisa Zehtabi, Wided Ouaja, Daniele Magazzeni, Manuela Veloso

机构 * AI Research（AI研究） ； J.P. Morgan（摩根大通） ； CIB Athena Applied Intelligence（CIB Athena应用智能） 纠错

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

Comments Please cite as: Sunandita Patra, Mehtab Pathan, Mahmoud Mahfouz, Parisa Zehtabi, Wided Ouaja, Daniele Magazzeni, and Manuela Veloso. "Capacity planning and scheduling for jobs with uncertainty in resource usage and duration." The Journal of Supercomputing 80, no. 15 (2024): 22428-22461

Journal ref The Journal of Supercomputing 80, no. 15 (2024): 22428-22461

Sketch-Plan-Generalize: Learning and Planning with Neuro-Symbolic Programmatic Representations for Inductive Spatial Concepts

Namasivayam Kalithasan, Sachit Sachdeva, Himanshu Gaurav Singh, Vishal Bindal, Arnav Tuli, Gurarmaan Singh Panjeta, Harsh Himanshu Vora, Divyanshu Aggarwal, Rohan Paul, Parag Singla

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

Comments Programmatic Representations for Agent Learning Worskop, ICML 2025

A reinforcement learning agent for maintenance of deteriorating systems with increasingly imperfect repairs

Alberto Pliego Marugán, Jesús M. Pinar-Pérez, Fausto Pedro García Márquez

机构 * CUNEF Universidad（CUNEF大学） ； Ingenium Research Group, Universidad de Castilla La-Mancha（Ingenium研究组，卡斯蒂利亚-拉曼查大学） 纠错

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

Comments Cite as: Marugán, A. P., Pinar-Pérez, J. M., & Márquez, F. P. G. (2024). A reinforcement learning agent for maintenance of deteriorating systems with increasingly imperfect repairs. Reliability Engineering & System Safety, 252, 110466

Journal ref Reliability Engineering & System Safety, published December 2024

Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference

Benjamin Eysenbach, Vivek Myers, Ruslan Salakhutdinov, Sergey Levine

机构 * Princeton University（普林斯顿大学） ； UC Berkeley（加州大学伯克利分校） ； Carnegie Mellon University（卡内基梅隆大学） 纠错

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

Comments Code: https://github.com/vivekmyers/contrastive_planning

Journal ref Neural information processing systems (2024)

Agent Performing Autonomous Stock Trading under Good and Bad Situations

Yunfei Luo, Zhangqi Duan

机构 * Manning College of Information and Computer Science University of Massachusetts Amherst（信息与计算机科学曼宁学院马萨诸塞大学阿姆赫斯特分校） 纠错

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

Comments Published as a workshop paper at ICLR 2023: AI for Agent Based Modeling

Pseudo-Boolean Proof Logging for Optimal Classical Planning

Simon Dold, Malte Helmert, Jakob Nordström, Gabriele Röger, Tanja Schindler

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

Comments 35th International Conference on Automated Planning and Scheduling (ICAPS'2025)

NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning Problems

Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares

机构 * University of Granada（格拉纳达大学） ； Andalusian Institute of Data Science and Computational Intelligence (DaSCI)（安达卢西亚数据科学与计算智能研究所（DaSCI）） 纠错

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

Comments 15 pages, 9 figures

Journal ref Carlos Núñez Molina, Pablo Mesejo, & Juan Fernández-Olivares. (2024). NeSIG: A neuro-symbolic method for learning to generate planning problems. In ECAI, volume 392, pages 4084-4091

AAAI Workshop on AI Planning for Cyber-Physical Systems -- CAIPI24

Oliver Niggemann, Gautam Biswas, Alexander Diedrich, Jonas Ehrhardt, René Heesch, Niklas Widulle

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

Comments This is the Proceedings of the AAAI Workshop on AI Planning for Cyber-Physical Systems - CAIPI24, which was held in Vancouver, CA, February 26, 2024

STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient Descent

Yewon Lee, Andrew Z. Li, Philip Huang, Eric Heiden, Krishna Murthy Jatavallabhula, Fabian Damken, Kevin Smith, Derek Nowrouzezahrai, Fabio Ramos, Florian Shkurti

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

Comments 14 pages, 9 figures, Learning Effective Abstractions for Planning (LEAP) Workshop at CoRL 2023

Learning to Select Goals in Automated Planning with Deep-Q Learning

Carlos Núñez-Molina, Juan Fernández-Olivares, Raúl Pérez

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

Comments 25 pages, 4 figures

Journal ref Núñez-Molina, C., Fernández-Olivares, J., & Pérez, R. (2022). Learning to select goals in Automated Planning with Deep-Q Learning. Expert Systems with Applications, 202, 117265

MinePlanner: A Benchmark for Long-Horizon Planning in Large Minecraft Worlds

William Hill, Ireton Liu, Anita De Mello Koch, Damion Harvey, Nishanth Kumar, George Konidaris, Steven James

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

Comments Accepted to the 6th ICAPS Workshop on the International Planning Competition (WIPC 2024)

First 100 days of pandemic; an interplay of pharmaceutical, behavioral and digital interventions -- A study using agent based modeling

Gauri Gupta, Ritvik Kapila, Ayush Chopra, Ramesh Raskar

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

Comments 12 pages, 12 figures, In Proc. of the 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024), Auckland, New Zealand, 2024

Automated Planning Techniques for Elementary Proofs in Abstract Algebra

Alice Petrov, Christian Muise

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

Comments Automated Planning Techniques for Elementary Proofs in Abstract Algebra. Petrov, A. & Muise, C. In Scheduling and Planning Applications woRKshop. 2023

VBMO: Voting-Based Multi-Objective Path Planning

Raj Korpan

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

Comments First International Workshop on Search and Planning with Complex Objectives (WoSePCO) at IJCAI'2023

Modelling the Spread of COVID-19 in Indoor Spaces using Automated Probabilistic Planning

Mohamed Harmanani

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

Comments 7 pages. Presented at ICAPS 2023 Scheduling and Planning Applications woRKshop (SPARK 2023)

On Guiding Search in HTN Temporal Planning with non Temporal Heuristics

Nicolas Cavrel, Damien Pellier, Humbert Fiorino

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

Journal ref ICAPS Hierarchical Planning Workshop, 2023

Evaluating Guiding Spaces for Motion Planning

Amnon Attali, Stav Ashur, Isaac Burton Love, Courtney McBeth, James Motes, Diane Uwacu, Marco Morales, Nancy M. Amato

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

Comments Accepted at IROS 2022, Workshop for Evaluating Motion Planning Performance

Lazy Rearrangement Planning in Confined Spaces

Rui Wang, Kai Gao, Jingjin Yu, Kostas Bekris

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

Comments Accepted to the 32nd International Conference on Automated Planning and Scheduling (ICAPS 2022)

Efficient Multivariate Bandit Algorithm with Path Planning

Keyu Nie, Zezhong Zhang, Ted Tao Yuan, Rong Song, Pauline Berry Burke

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

Comments Multi-Armed Bandit, Monte Carlo Tree Search, Decision Tree, Path Planning

Journal ref Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence (ICTAI '20), November 09--11, 2020, Baltimore, MD, USA

Representation and Synthesis of C++ Programs for Generalized Planning

Javier Segovia-Aguas, Yolanda E-Martín, Sergio Jiménez

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

Comments Accepted at sixth workshop on Generalization in Planning at IJCAI-ECAI 2022

Hierarchical Width-Based Planning and Learning

Miquel Junyent, Vicenç Gómez, Anders Jonsson

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

Journal ref Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling (ICAPS 2021)

Learning Sketches for Decomposing Planning Problems into Subproblems of Bounded Width: Extended Version

Dominik Drexler, Jendrik Seipp, Hector Geffner

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

Comments This work will appear in the Proceedings of the 32nd International Conference on Automated Planning and Scheduling (ICAPS2022)