大模型推理能力

Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning

Seungyong Moon, Junyoung Yeom, Bumsoo Park, Hyun Oh Song

专题命中 规划推理 ：reasoning(abstract)；planning(abstract)；分类 cs.AI、cs.LG

Comments Accepted at NeurIPS 2023

Autonomous Tree-search Ability of Large Language Models

Zheyu Zhang, Zhuorui Ye, Yikang Shen, Chuang Gan

专题命中 规划推理 ：reasoning(abstract)；CoT(abstract)；分类 cs.CL、cs.AI

Comments Due to the limitation "The abstract field cannot be longer than 1,920 characters", the abstract here is shorter than that in the PDF file

REFLECT: Summarizing Robot Experiences for Failure Explanation and Correction

Zeyi Liu, Arpit Bahety, Shuran Song

专题命中 规划推理 ：reasoning(abstract)；planning(abstract)；分类 cs.CL、cs.AI

Comments Conference on Robot Learning (CoRL) 2023; Project website: https://robot-reflect.github.io/

An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Pengyu Zhao, Zijian Jin, Ning Cheng

专题命中 规划推理 ：reasoning(abstract)；planning(abstract)；分类 cs.CL、cs.AI

Self-driven Grounding: Large Language Model Agents with Automatical Language-aligned Skill Learning

Shaohui Peng, Xing Hu, Qi Yi, Rui Zhang, Jiaming Guo, Di Huang, Zikang Tian, Ruizhi Chen, Zidong Du, Qi Guo, Yunji Chen, Ling Li

专题命中 规划推理 ：reasoning(abstract)；planning(abstract)；分类 cs.CL、cs.AI

A Human-on-the-Loop Optimization Autoformalism Approach for Sustainability

Ming Jin, Bilgehan Sel, Fnu Hardeep, Wotao Yin

专题命中 规划推理 ：reasoning(abstract)；planning(abstract)；分类 cs.CL、cs.AI

CohortGPT: An Enhanced GPT for Participant Recruitment in Clinical Study

Zihan Guan, Zihao Wu, Zhengliang Liu, Dufan Wu, Hui Ren, Quanzheng Li, Xiang Li, Ninghao Liu

专题命中 规划推理 ：chain-of-thought(abstract)；CoT(abstract)；分类 cs.CL、cs.AI

Comments 16 pages, 10 figures

Towards A Unified Agent with Foundation Models

Norman Di Palo, Arunkumar Byravan, Leonard Hasenclever, Markus Wulfmeier, Nicolas Heess, Martin Riedmiller

专题命中 规划推理 ：reasoning(abstract)；planning(abstract)；分类 cs.AI、cs.LG

Insert-expansions for Tool-enabled Conversational Agents

Andreas Göldi, Roman Rietsche

专题命中 规划推理 ：reasoning(abstract)；chain-of-thought(abstract)；分类 cs.CL、cs.AI

Improving Long-Horizon Imitation Through Instruction Prediction

Joey Hejna, Pieter Abbeel, Lerrel Pinto

专题命中 规划推理 ：reasoning(abstract)；planning(abstract)；分类 cs.AI、cs.LG

Comments Published at AAAI 2023

Interactive Natural Language Processing

Zekun Wang, Ge Zhang, Kexin Yang, Ning Shi, Wangchunshu Zhou, Shaochun Hao, Guangzheng Xiong, Yizhi Li, Mong Yuan Sim, Xiuying Chen, Qingqing Zhu, Zhenzhu Yang, Adam Nik, Qi Liu, Chenghua Lin, Shi Wang, Ruibo Liu, Wenhu Chen, Ke Xu, Dayiheng Liu, Yike Guo, Jie Fu

专题命中 规划推理 ：reasoning(abstract)；planning(abstract)；分类 cs.CL、cs.AI

Comments 110 pages

Temporal Abstraction in Reinforcement Learning with the Successor Representation

Marlos C. Machado, Andre Barreto, Doina Precup, Michael Bowling

专题命中 规划推理 ：reasoning(abstract)；planning(abstract)；分类 cs.AI、cs.LG

Comments This is the final, published JMLR version

Journal ref Journal of Machine Learning Research (JMLR), 24(80):1-69, 2023

Foundation Models for Decision Making: Problems, Methods, and Opportunities

Sherry Yang, Ofir Nachum, Yilun Du, Jason Wei, Pieter Abbeel, Dale Schuurmans

专题命中 规划推理 ：reasoning(abstract)；planning(abstract)；分类 cs.AI、cs.LG

PaLM-E: An Embodied Multimodal Language Model

Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence

专题命中 规划推理 ：reasoning(abstract)；planning(abstract)；分类 cs.AI、cs.LG

Pathfinding Neural Cellular Automata

Sam Earle, Ozlem Yildiz, Julian Togelius, Chinmay Hegde

专题命中 规划推理 ：reasoning(abstract)；planning(abstract)；分类 cs.AI、cs.LG

Constitutional AI: Harmlessness from AI Feedback

Yuntao Bai, Saurav Kadavath, Sandipan Kundu, Amanda Askell, Jackson Kernion, Andy Jones, Anna Chen, Anna Goldie, Azalia Mirhoseini, Cameron McKinnon, Carol Chen, Catherine Olsson, Christopher Olah, Danny Hernandez, Dawn Drain, Deep Ganguli, Dustin Li, Eli Tran-Johnson, Ethan Perez, Jamie Kerr, Jared Mueller, Jeffrey Ladish, Joshua Landau, Kamal Ndousse, Kamile Lukosuite, Liane Lovitt, Michael Sellitto, Nelson Elhage, Nicholas Schiefer, Noemi Mercado, Nova DasSarma, Robert Lasenby, Robin Larson, Sam Ringer, Scott Johnston, Shauna Kravec, Sheer El Showk, Stanislav Fort, Tamera Lanham, Timothy Telleen-Lawton, Tom Conerly, Tom Henighan, Tristan Hume, Samuel R. Bowman, Zac Hatfield-Dodds, Ben Mann, Dario Amodei, Nicholas Joseph, Sam McCandlish, Tom Brown, Jared Kaplan

专题命中 规划推理 ：reasoning(abstract)；chain-of-thought(abstract)；分类 cs.CL、cs.AI

Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space

Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Lucas Liebenwein, Ryan Sander, Sertac Karaman, Daniela Rus

专题命中 规划推理 ：reasoning(abstract)；planning(abstract)；分类 cs.AI、cs.LG

Comments Wilko, Tim, and Igor contributed equally to this work; published in Conference on Robot Learning 2020

Episodic Memory for Learning Subjective-Timescale Models

Alexey Zakharov, Matthew Crosby, Zafeirios Fountas

专题命中 规划推理 ：reasoning(abstract)；planning(abstract)；分类 cs.AI、cs.LG

A Scalable Machine Learning Approach for Inferring Probabilistic US-LI-RADS Categorization

Imon Banerjee, Hailey H. Choi, Terry Desser, Daniel L. Rubin

专题命中 规划推理 ：reasoning(abstract)；planning(abstract)；分类 cs.CL、cs.AI

Comments AMIA Annual Symposium 2018 (accepted)

Observe and Look Further: Achieving Consistent Performance on Atari

Tobias Pohlen, Bilal Piot, Todd Hester, Mohammad Gheshlaghi Azar, Dan Horgan, David Budden, Gabriel Barth-Maron, Hado van Hasselt, John Quan, Mel Večerík, Matteo Hessel, Rémi Munos, Olivier Pietquin

专题命中 规划推理 ：reasoning(abstract)；planning(abstract)；分类 cs.AI、cs.LG

MazeBase: A Sandbox for Learning from Games

Sainbayar Sukhbaatar, Arthur Szlam, Gabriel Synnaeve, Soumith Chintala, Rob Fergus

专题命中 规划推理 ：reasoning(abstract)；planning(abstract)；分类 cs.AI、cs.LG

Learning to Ground Existentially Quantified Goals

Martin Funkquist, Simon Ståhlberg, Hector Geffner

专题命中 规划推理 ：reasoning(abstract,comments)；planning(abstract)；分类 cs.AI

Comments 11 pages, Accepted at the 21st International Conference on Principles of Knowledge Representation and Reasoning (KR2024) in the Reasoning, Learning, and Decision Making track

HATP: An HTN Planner for Robotics

Raphaël Lallement, Lavindra de Silva, Rachid Alami

专题命中 规划推理 ：planning(abstract,comments)；reasoning(abstract)；分类 cs.AI

Comments 2nd ICAPS Workshop on Planning and Robotics, PlanRob 2014

An ASP-Based Architecture for Autonomous UAVs in Dynamic Environments: Progress Report

Marcello Balduccini, William C. Regli, Duc N. Nguyen

专题命中 规划推理 ：reasoning(abstract,comments)；planning(abstract)；分类 cs.AI

Comments Proceedings of the 15th International Workshop on Non-Monotonic Reasoning (NMR 2014)

WithEveryone: Unified Planning and Identity Grounding for Group Image Generation

WithEveryone：面向群体图像生成的统一规划与身份定位

Hengyuan Xu, Qixun Wang, Yiji Cheng, Miles Yang, Zhao Zhong, Wei Cheng, Xingjun Ma, Yu-gang Jiang

机构 * Fudan University（复旦大学） ； Hunyuan, Tencent（腾讯混元） ； The University of Hong Kong（香港大学） 纠错

专题命中 规划推理 ：planning(title)

AI总结 针对多人物群体图像生成的身份保留难题，提出WithEveryone框架，通过布局定位身份损失等技术，提升了人脸相似度并降低伪影，实现高身份覆盖率与低重复率。

Comments Project Page: doby-xu.github.io/WithEveryone/ ;Code will be released: github.com/Doby-Xu/WithEveryone/

Distributed Motion Planning with Safety Guarantees for Self-Reconfiguring Robotic Boats

具有安全保障的自重构机器人船分布式运动规划

Alejandro Gonzalez-Garcia, Wei Wang, Wei Xiao, Wilm Decre, Jan Swevers, Carlo Ratti, Daniela Rus

机构 * KU Leuven（鲁汶大学） ； University of Wisconsin-Madison（威斯康星大学麦迪逊分校） ； Nanyang Technological University（南洋理工大学） ； SMART（新加坡制造技术研究院） ； SENSEable City Laboratory, Massachusetts Institute of Technology（麻省理工学院可感知城市实验室） ； Computer Science and Artificial Intelligence Lab (CSAIL), Massachusetts Institute of Technology（麻省理工学院计算机科学与人工智能实验室） 纠错

专题命中 规划推理 ：planning(title)

AI总结 研究水生自重构机器人多智能体形状形成与重构问题，提出将分布式MPC与CBF相结合的混合框架，利用ADMM求解MPC方案，通过局部优化和信息交换计算轨迹，并应用基于CBF的滤波器保障安全，经仿真和实验验证了框架的有效性与可扩展性。

Comments Submitted to IEEE

Adaptive Fault Injection Planning for Multi-Layer Self-Healing AI Infrastructure

用于多层自愈人工智能基础设施的自适应故障注入规划

Saurabh Kulkarni, Yuxin Yang, Rohan Kulkarni, Gautam Nayak

专题命中 规划推理 ：planning(title)

AI总结 研究多层自愈人工智能基础设施故障注入规划问题，提出ADA-ST自适应方法，用加权故障传播图指导跨层场景选择，构建平台故障传播图，弥补现有测试覆盖不足，通过迭代达全边覆盖，还能跨硬件代际传递知识，揭示跨层漏洞。

LLM-Based Generalizable Hierarchical Task Planning and Execution for Heterogeneous Robot Teams with Event-Driven Replanning

基于LLM的异构机器人团队通用分层任务规划与执行及事件驱动重规划

Suraj Borate, Bhavish Rai B, Vipul Pardeshi, Madhu Vadali

机构 * Department of Mechanical Engineering, IIT Gandhinagar（印度加尔各直辖区理工学院机械工程系） ； Sahyadri College of Engineering and Management（萨哈亚德里工程与管理学院） ； Vishwakarma Institute of Information Technology（维什瓦克arma信息技术学院） 纠错

专题命中 规划推理 ：planning(title)

AI总结 提出CoMuRoS架构，结合集中式规划与分布式执行，通过LLM解释自然语言目标、分配子任务，并支持事件驱动重规划，在硬件实验中实现自主恢复和协调运输。

Comments full version of this short paper is accepted at Frontiers in Robotics and AI Journal

Multimodal Large Language Models for Real-Time Situated Reasoning

多模态大语言模型用于实时情境推理

Giulio Antonio Abbo, Senne Lenaerts, Tony Belpaeme

机构 * University of Amsterdam（阿姆斯特丹大学） 纠错

专题命中 规划推理 ：reasoning(title)

AI总结 本文探讨多模态大语言模型如何支持实时情境和价值感知决策，结合GPT-4o与模拟智能扫地机器人平台，展示其在家庭活动、社会规范和用户偏好推理中的能力，以及在清洁、舒适和安全等价值上的细致决策。

Comments Submitted to the interactivity track of the 21st ACM/IEEE International Conference on Human-Robot Interaction on December 2025, accepted January 2026

Journal ref HRI Companion 2026: Companion Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction

Decentralized Abstractions and Timed Constrained Planning of a General Class of Coupled Multi-Agent Systems

去中心化抽象与一般耦合多智能体系统的时约束规划

Alexandros Nikou, Shahab Heshmati-alamdari, Christos Verginis, Dimos V. Dimarogonas

专题命中 规划推理 ：planning(title)

AI总结 本文提出一种自动控制器合成方法，针对具有耦合约束的多智能体系统，设计满足MITL规格的控制器并保持连接性。