世界模型

KeyWorld: Key Frame Reasoning Enables Effective and Efficient World Models

Sibo Li, Qianyue Hao, Yu Shang, Yong Li

机构 * Department of Electronic Engineering, BNRist, Tsinghua University（电子工程系、北京理工大学、清华大学） 纠错

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Embodied AI: From LLMs to World Models

Tongtong Feng, Xin Wang, Yu-Gang Jiang, Wenwu Zhu

机构 * Department of Computer Science and Technology, Tsinghua University（清华大学计算机科学与技术系） ； Beijing National Research Center for Information Science and Technology（北京信息科学与技术国家研究中心） ； Institute of Trustworthy Embodied AI, Fudan University（复旦大学可信具身人工智能研究院） 纠错

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments Accepted by IEEE CASM

A Survey of World Models for Autonomous Driving

Tuo Feng, Wenguan Wang, Yi Yang

机构 * Collaborative Innovation Center of Artificial Intelligence (CCAI), Zhejiang University（人工智能协同创新中心（CCAI）、浙江大学） 纠错

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments Ongoing project. Paper list: https://github.com/FengZicai/AwesomeWMAD Benchmark: https://github.com/FengZicai/WMAD-Benchmarks

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges

Changyuan Zhao, Guangyuan Liu, Ruichen Zhang, Yinqiu Liu, Jiacheng Wang, Jiawen Kang, Dusit Niyato, Zan Li, Xuemin, Shen, Zhu Han, Sumei Sun, Chau Yuen, Dong In Kim

机构 * College of Computing and Data Science, Nanyang Technological University（南洋理工大学计算与数据科学学院） ； School of Automation, Guangdong University of Technology（广东工业大学自动化学院） ； State Key Laboratory of Integrated Services Networks, Xidian University（西安电子科技大学集成服务网络国家重点实验室） ； Department of Electrical and Computer Engineering, University of Waterloo（滑铁卢大学电气与计算机工程系） ； Department of Computer Science and Engineering, Kyung Hee University（韩国庆熙大学计算机科学与工程系） ； Institute for Infocomm Research, Agency for Science, Technology and Research（科技研究局信息通信研究所） ； Department of Electrical and Computer Engineering, Sungkyunkwan University（庆熙大学电气与计算机工程系） 纠错

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments 21 pages. 9 figures

Assessing Adaptive World Models in Machines with Novel Games

Lance Ying, Katherine M. Collins, Prafull Sharma, Cedric Colas, Kaiya Ivy Zhao, Adrian Weller, Zenna Tavares, Phillip Isola, Samuel J. Gershman, Jacob D. Andreas, Thomas L. Griffiths, Francois Chollet, Kelsey R. Allen, Joshua B. Tenenbaum

机构 * MIT（麻省理工学院） ； Harvard University（哈佛大学） ； University of Cambridge（剑桥大学） ； Basis Research Institute（基础研究机构） ； Princeton University（普林斯顿大学） ； ARC Prize Foundation（ARC奖基金会） ； University of British Columbia（不列颠哥伦比亚大学） 纠错

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments 17 pages, 4 figures

Continual Reinforcement Learning by Planning with Online World Models

Zichen Liu, Guoji Fu, Chao Du, Wee Sun Lee, Min Lin

机构 * Sea AI Lab（海智人工智能实验室） ； National University of Singapore（新加坡国立大学） 纠错

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments ICML 2025 Spotlight

Learning World Models With Hierarchical Temporal Abstractions: A Probabilistic Perspective

Vaisakh Shaj

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments Doctoral Dissertation, Department of Computer Science, Karlsruhe Institute Of Technology, 2024

Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation

Qiyue Gao, Xinyu Pi, Kevin Liu, Junrong Chen, Ruolan Yang, Xinqi Huang, Xinyu Fang, Lu Sun, Gautham Kishore, Bo Ai, Stone Tao, Mengyang Liu, Jiaxi Yang, Chao-Jung Lai, Chuanyang Jin, Jiannan Xiang, Benhao Huang, Zeming Chen, David Danks, Hao Su, Tianmin Shu, Ziqiao Ma, Lianhui Qin, Zhiting Hu

机构 * UC San Diego ； JHU Cornell Tech ； EPFL ； UMich 纠错

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments ACL 2025 (Findings)

A Survey on World Models Grounded in Acoustic Physical Information

Xiaoliang Chen, Le Chang, Xin Yu, Yunhe Huang, Xianling Tu

机构 * SoundAI Technology Co., Ltd.（声AI技术有限公司） 纠错

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments 28 pages,11 equations

Simple, Good, Fast: Self-Supervised World Models Free of Baggage

Jan Robine, Marc Höftmann, Stefan Harmeling

机构 * TU Dortmund（图鲁姆大学） ； Lamarr Institute for Machine Learning and Artificial Intelligence（拉马尔人工智能与机器学习研究所） 纠错

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments Published as a conference paper at ICLR 2025. Code is available at https://github.com/jrobine/sgf

Four Principles for Physically Interpretable World Models

Jordan Peper, Zhenjiang Mao, Yuang Geng, Siyuan Pan, Ivan Ruchkin

机构 * University of Florida（佛罗里达大学） 纠错

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments Equal contribution by the first two authors

Novelty Detection in Reinforcement Learning with World Models

Geigh Zollicoffer, Kenneth Eaton, Jonathan Balloch, Julia Kim, Wei Zhou, Robert Wright, Mark O. Riedl

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments ICML Spotlight 2025

Learning Actionable World Models for Industrial Process Control

Peng Yan, Ahmed Abdulkadir, Gerrit A. Schatte, Giulia Aguzzi, Joonsu Gha, Nikola Pascher, Matthias Rosenthal, Yunlong Gao, Benjamin F. Grewe, Thilo Stadelmann

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments Accepted by SDS 2025

DITTO: Offline Imitation Learning with World Models

Branton DeMoss, Paul Duckworth, Jakob Foerster, Nick Hawes, Ingmar Posner

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Planning with Adaptive World Models for Autonomous Driving

Arun Balajee Vasudevan, Neehar Peri, Jeff Schneider, Deva Ramanan

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments This project has been accepted to the International Conference on Robotics and Automation (ICRA) 2025. Project Page: https://arunbalajeev.github.io/world_models_planning/world_model_paper.html

Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination

Leonardo Barcellona, Andrii Zadaianchuk, Davide Allegro, Samuele Papa, Stefano Ghidoni, Efstratios Gavves

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Transformers Use Causal World Models in Maze-Solving Tasks

Alex F. Spies, William Edwards, Michael I. Ivanitskiy, Adrians Skapars, Tilman Räuker, Katsumi Inoue, Alessandra Russo, Murray Shanahan

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments Main paper: 9 pages, 9 figures. Supplementary material: 10 pages, 17 additional figures. Code and data will be available upon publication. Corresponding author: A. F. Spies (afspies@imperial.ac.uk)

Towards Unraveling and Improving Generalization in World Models

Qiaoyi Fang, Weiyu Du, Hang Wang, Junshan Zhang

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments An earlier version of this paper was submitted to NeurIPS and received ratings of (7, 6, 6). The reviewers' comments and the original draft are available at OpenReview. This version contains minor modifications based on that submission

Grounding Large Language Models In Embodied Environment With Imperfect World Models

Haolan Liu, Jishen Zhao

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Adaptive World Models: Learning Behaviors by Latent Imagination Under Non-Stationarity

Emiliyan Gospodinov, Vaisakh Shaj, Philipp Becker, Stefan Geyer, Gerhard Neumann

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments Accepted at NeurIPS 2024 Workshop Adaptive Foundation Models

Probing Multimodal LLMs as World Models for Driving

Shiva Sreeram, Tsun-Hsuan Wang, Alaa Maalouf, Guy Rosman, Sertac Karaman, Daniela Rus

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments https://github.com/sreeramsa/DriveSim https://www.youtube.com/watch?v=Fs8jgngOJzU

One-shot World Models Using a Transformer Trained on a Synthetic Prior

Fabio Ferreira, Moreno Schlageter, Raghu Rajan, Andre Biedenkapp, Frank Hutter

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Toward Universal and Interpretable World Models for Open-ended Learning Agents

Lancelot Da Costa

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments 4 pages including appendix, 6 including appendix and references; 2 figures

Journal ref NeurIPS 2024 Workshop on Intrinsically Motivated Open-ended Learning (IMOL)

A Notion of Complexity for Theory of Mind via Discrete World Models

X. Angelo Huang, Emanuele La Malfa, Samuele Marro, Andrea Asperti, Anthony Cohn, Michael Wooldridge

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments Accepted EMNLP 2024, Website https://flecart.github.io/complexity-tom-dwm

Representing Positional Information in Generative World Models for Object Manipulation

Stefano Ferraro, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Sai Rajeswar

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Language-Guided World Models: A Model-Based Approach to AI Control

Alex Zhang, Khanh Nguyen, Jens Tuyls, Albert Lin, Karthik Narasimhan

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments SpLU-RoboNLP workshop at ACL 2024

LIMT: Language-Informed Multi-Task Visual World Models

Elie Aljalbout, Nikolaos Sotirakis, Patrick van der Smagt, Maximilian Karl, Nutan Chen

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

From Efficient Multimodal Models to World Models: A Survey

Xinji Mai, Zeng Tao, Junxiong Lin, Haoran Wang, Yang Chang, Yanlan Kang, Yan Wang, Wenqiang Zhang

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Reinforcement Learning from Delayed Observations via World Models

Armin Karamzade, Kyungmin Kim, Montek Kalsi, Roy Fox

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors

Yucen Wang, Shenghua Wan, Le Gan, Shuai Feng, De-Chuan Zhan

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)