世界模型

Query-Efficient Planning with Language Models

Gonzalo Gonzalez-Pumariega, Wayne Chen, Kushal Kedia, Sanjiban Choudhury

专题命中 仿真与规划 ：world model(abstract)；world model(abstract)；分类 cs.AI

Comments 11 pages (not including references or appendix); 13 figures (9 main paper, 4 appendix); (v1) preprint

Speeding Up Optimization-based Motion Planning through Deep Learning

Johannes Tenhumberg, Darius Burschka, Berthold Bäuml

专题命中 仿真与规划 ：world model(abstract)；world model(abstract)；分类 cs.RO

Journal ref 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Flexible and Adaptive Manufacturing by Complementing Knowledge Representation, Reasoning and Planning with Reinforcement Learning

Matthias Mayr, Faseeh Ahmad, Volker Krueger

专题命中 仿真与规划 ：world model(abstract)；world model(abstract)；分类 cs.RO

Comments 3 pages, 2 figures. Presented at the IROS 2023 Workshop on Robotics & AI in Future Factory

Large Language Models as Commonsense Knowledge for Large-Scale Task Planning

Zirui Zhao, Wee Sun Lee, David Hsu

专题命中 仿真与规划 ：world model(abstract)；world model(abstract)；分类 cs.RO

Comments In Proceedings of NeurIPS 2023

Towards biologically plausible Dreaming and Planning in recurrent spiking networks

Cristiano Capone, Pier Stanislao Paolucci

专题命中 仿真与规划 ：world-model(abstract)；world-model(abstract)；分类 cs.LG

Task Scoping: Generating Task-Specific Abstractions for Planning in Open-Scope Models

Michael Fishman, Nishanth Kumar, Cameron Allen, Natasha Danas, Michael Littman, Stefanie Tellex, George Konidaris

专题命中 仿真与规划 ：world model(abstract)；world model(abstract)；分类 cs.AI

UrbanFly: Uncertainty-Aware Planning for Navigation Amongst High-Rises with Monocular Visual-Inertial SLAM Maps

Sudarshan S Harithas, Ayyappa Swamy Thatavarthy, Gurkirat Singh, Arun K Singh, K Madhava Krishna

专题命中 仿真与规划 ：world model(abstract)；world model(abstract)；分类 cs.RO

Comments Submitted to ACC 2023, Code available at https://github.com/sudarshan-s-harithas/UrbanFly

Counterfactual Planning in AGI Systems

Koen Holtman

专题命中 仿真与规划 ：world model(abstract)；world model(abstract)；分类 cs.AI

Evolutionary Planning in Latent Space

Thor V. A. N. Olesen, Dennis T. T. Nguyen, Rasmus Berg Palm, Sebastian Risi

专题命中 仿真与规划 ：world model(abstract)；world model(abstract)；分类 cs.LG

Comments Code to reproduce the experiments are available at https://github.com/two2tee/WorldModelPlanning Video of driving performance is available at https://youtu.be/3M39QgeF27U

Learning Latent State Spaces for Planning through Reward Prediction

Aaron Havens, Yi Ouyang, Prabhat Nagarajan, Yasuhiro Fujita

专题命中 仿真与规划 ：latent dynamics(abstract)；model-based reinforcement learning(abstract)；分类 cs.AI、cs.LG；dynamics model(abstract)

Comments Deep RL Workshop, Neurips 2019, Vancouver

Psychologically inspired planning method for smart relocation task

Aleksandr I. Panov, Konstantin Yakovlev

专题命中 仿真与规划 ：world model(abstract)；world model(abstract)；分类 cs.AI

Comments As submitted to the 7th International Conference on Biologically Inspired Cognitive Architectures (BICA 2016), New-York, USA, July 16-19 2016

Planning with Noisy Probabilistic Relational Rules

Tobias Lang, Marc Toussaint

专题命中 仿真与规划 ：world model(abstract)；world model(abstract)；分类 cs.AI

Journal ref Journal Of Artificial Intelligence Research, Volume 39, pages 1-49, 2010

Latent Dynamics-Aware OOD Monitoring for Trajectory Prediction with Provable Guarantees

隐式动态感知的领域外监测用于轨迹预测的可证明保障

Tongfei Guo, Lili Su

专题命中 仿真与规划 ：latent dynamics(title)；分类 cs.RO

AI总结 本文提出基于快速突变点检测的轨迹预测领域外监测方法，通过隐马尔可夫模型建模预测误差演化，实现无需显式知识的领域外检测并保证延迟和误报率的可证明保障。

Comments Accepted by 2026 IEEE International Conference on Automation Science and Engineering (CASE 2026)

Bootstrapped model learning and error correction for planning with uncertainty in model-based RL

Alvaro Ovalle, Simon M. Lucas

专题命中 仿真与规划 ：model-based RL(title)；分类 cs.LG

Deliberate Planning in Language Models with Symbolic Representation

Siheng Xiong, Zhangding Liu, Jieyu Zhou, Yusen Su

机构 * Georgia Institute of Technology, Atlanta, GA 30332 USA（佐治亚理工学院） 纠错

专题命中 仿真与规划 ：world model(abstract)；world model(abstract)

Comments Accepted to Twelfth Annual Conference on Advances in Cognitive Systems

MBDP: A Model-based Approach to Achieve both Robustness and Sample Efficiency via Double Dropout Planning

Wanpeng Zhang, Xi Xiao, Yao Yao, Mingzhe Chen, Dijun Luo

专题命中 仿真与规划 ：model-based reinforcement learning(abstract)；model-based RL(abstract)；分类 cs.LG；dynamics model(abstract)

Dream and Search to Control: Latent Space Planning for Continuous Control

Anurag Koul, Varun V. Kumar, Alan Fern, Somdeb Majumdar

专题命中 仿真与规划 ：latent dynamics(abstract)；model-based reinforcement learning(abstract)；分类 cs.AI、cs.LG

Comments Preprint

Imagination-Augmented Agents for Deep Reinforcement Learning

Théophane Weber, Sébastien Racanière, David P. Reichert, Lars Buesing, Arthur Guez, Danilo Jimenez Rezende, Adria Puigdomènech Badia, Oriol Vinyals, Nicolas Heess, Yujia Li, Razvan Pascanu, Peter Battaglia, Demis Hassabis, David Silver, Daan Wierstra

专题命中 仿真与规划 ：environment model(abstract)；model-based reinforcement learning(abstract)；分类 cs.AI、cs.LG

Symmetric solutions for a partial differential elliptic equation that arises in stochastic production planning with production constraints

Dragos-Patru Covei

专题命中 仿真与规划 ：world model(abstract)；world model(abstract)

Science, Art and Geometrical Imagination

J. -P. Luminet

专题命中 仿真与规划 ：world model(abstract)；world model(abstract)

Comments 22 pages, 28 figures, invited talk at the IAU Symposium 260 "The Role of Astronomy in Society and Culture", UNESCO, 19-23 January 2009, Paris, Proceedings to be published

From a Point Cloud to a Simulation Model: Bayesian Segmentation and Entropy based Uncertainty Estimation for 3D Modelling

Christina Petschnigg, Markus Spitzner, Lucas Weitzendorf, Jürgen Pilz

专题命中 仿真与规划 ：simulation model(title,abstract)；environment model(abstract)；分类 cs.LG

Comments Submitted to MDPI Entropy for Review

Metacontrol for Adaptive Imagination-Based Optimization

Jessica B. Hamrick, Andrew J. Ballard, Razvan Pascanu, Oriol Vinyals, Nicolas Heess, Peter W. Battaglia

专题命中 仿真与规划 ：model-based reinforcement learning(abstract)；分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

Comments Published as a conference paper at ICLR 2017

Planning with Expectation Models for Control

Katya Kudashkina, Yi Wan, Abhishek Naik, Richard S. Sutton

专题命中 仿真与规划 ：environment model(abstract)；model-based reinforcement learning(abstract)；分类 cs.AI

Deep Imitative Models for Flexible Inference, Planning, and Control

Nicholas Rhinehart, Rowan McAllister, Sergey Levine

专题命中 仿真与规划 ：分类 cs.AI、cs.LG、cs.CV；dynamics model(abstract)；predictive model(abstract)；predictive models(abstract)

Information-Theoretic Approach to Efficient Adaptive Path Planning for Mobile Robotic Environmental Sensing

Kian Hsiang Low, John M. Dolan, Pradeep Khosla

专题命中 仿真与规划 ：environment model(abstract)；分类 cs.AI、cs.LG、cs.RO

Comments 19th International Conference on Automated Planning and Scheduling (ICAPS 2009), Extended version with proofs, 11 pages

PRISM: Protocol Refinement through Intelligent Simulation Modeling

通过智能仿真建模实现协议优化：PRISM

Brian Hsu, Priyanka V Setty, Rory M Butler, Ryan Lewis, Casey Stone, Rebecca Weinberg, Thomas Brettin, Rick Stevens, Ian Foster, Arvind Ramanathan

机构 * Argonne National Laboratory（阿贡国家实验室） 纠错

专题命中 仿真与规划 ：simulation model(title,abstract)；分类 cs.AI、cs.RO、cs.MA

AI总结 PRISM通过智能仿真建模实现实验协议的自动化设计、验证和执行，结合语言模型代理、数字孪生验证和机器人执行，提供端到端的实验流程解决方案。

Comments 43 pages, 8 figures, submitted to RSC Digital Discovery. Equal contribution: B. Hsu, P.V. Setty, R.M. Butler. Corresponding author: A. Ramanathan

Process Knowledge Driven Change Point Detection for Automated Calibration of Discrete Event Simulation Models Using Machine Learning

Suleyman Yildirim, Alper Ekrem Murat, Murat Yildirim, Suzan Arslanturk

专题命中 仿真与规划 ：simulation model(title,abstract)；分类 cs.LG；predictive model(abstract)；predictive models(abstract)

Comments This work has been submitted to the IEEE for possible publication

LLM experiments with simulation: Large Language Model Multi-Agent System for Simulation Model Parametrization in Digital Twins

Yuchen Xia, Daniel Dittler, Nasser Jazdi, Haonan Chen, Michael Weyrich

专题命中 仿真与规划 ：simulation model(title,abstract)；分类 cs.AI、cs.RO、cs.MA

Comments Submitted to IEEE-ETFA2024, under peer-review

The Role of Reference Points in Machine-Learned Atomistic Simulation Models

Xiangyun Lei, Weike Ye, Joseph Montoya, Tim Mueller, Linda Hung, Jens Hummelshoej

专题命中 仿真与规划 ：environment model(abstract)；simulation model(title)；分类 cs.LG

Shortcut Trajectory Planning for Efficient Offline Reinforcement Learning

用于高效离线强化学习的捷径轨迹规划

Guanquan Wang, Yoshimasa Tsuruoka

机构 * The University of Tokyo（东京大学） 纠错

专题命中 仿真与规划 ：model-based reinforcement learning(abstract)；分类 cs.AI、cs.LG、cs.RO

AI总结 研究针对离线强化学习中轨迹规划器的问题，提出捷径轨迹规划（STP）框架，将捷径模型作为轨迹生成器，单阶段训练条件捷径轨迹模型，支持可调推理，用增强可行性感知校正的评论家选候选计划，在多任务基准测试中性能强且简化训练管道。

Comments 16 pages, 3 figures