世界模型

Dual Mind World Model Inspired Network Digital Twin for Access Scheduling

双心智世界模型启发网络数字孪生访问调度框架

Hrishikesh Dutta, Roberto Minerva, Noel Crespi

机构 * Data Intelligence and Communication Engineering Lab（数据智能与通信工程实验室） 纠错

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.AI、cs.MA

AI总结 本文提出一种基于双心智世界模型的数字孪生调度框架，通过结合预测规划与符号模型优化，实现适应动态网络环境的智能调度策略。

Mirage2Matter: A Physically Grounded Gaussian World Model from Video

Mirage2Matter: 从视频构建一个物理基础的高斯世界模型

Zhengqing Gao, Ziwen Li, Xin Wang, Jiaxin Huang, Zhenyang Ren, Mingkai Shao, Hanlue Zhang, Tianyu Huang, Yongkang Cheng, Yandong Guo, Runqi Lin, Yuanyuan Wang, Tongliang Liu, Kun Zhang, Mingming Gong

机构 * MBZUAI ； AI$^2$Robotics（AI²Robotics） ； The University of Sydney（悉尼大学） ； Carnegie Mellon University（卡内基梅隆大学） ； The University of Melbourne（墨尔本大学） 纠错

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.AI、cs.CV

AI总结 Mirage2Matter通过视频重建物理基础的世界模型，利用3D高斯点云和生成模型实现高保真具身训练数据生成，提升具身智能的可扩展性和实用性。

Active Inference-Driven World Modeling for Adaptive UAV Swarm Trajectory Design

基于主动推断的世界建模用于自适应无人机蜂群轨迹设计

Kaleem Arshid, Ali Krayani, Lucio Marcenaro, David Martin Gomez, Carlo Regazzoni

机构 * University of Genoa（热那亚大学） ； Carlos III University Madrid（马德里卡洛斯三世大学） 纠错

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.AI、cs.RO

AI总结 本文提出基于主动推断的世界建模框架，用于自适应无人机蜂群轨迹设计，通过整合概率推理和自我学习实现动态环境下的适应性响应。

Comments This paper has been accepted for presentation at the 2026 IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2026) Workshop: 'Multi-Modal Signal Processing and AI for Communications and Sensing in 6G and Beyond (MuSiC-6GB)'

HanoiWorld : A Joint Embedding Predictive Architecture BasedWorld Model for Autonomous Vehicle Controller

HanoiWorld：基于联合嵌入预测架构的世界模型用于自动驾驶控制器

Tran Tien Dat, Nguyen Hai An, Nguyen Khanh Viet Dung, Nguyen Duy Duc

机构 * Faculty of Mathematics and Informatics, Hanoi University of Science and Technology（数学与信息学学院，河内科学技术大学） ； Troy University（特洛伊大学） 纠错

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.AI、cs.RO

AI总结 HanoiWorld基于JEPA架构，利用RNN实现自动驾驶中的长期规划，通过实验展示在安全意识下有效降低碰撞率。

NORA-1.5: A Vision-Language-Action Model Trained using World Model- and Action-based Preference Rewards

Chia-Yu Hung, Navonil Majumder, Haoyuan Deng, Liu Renhang, Yankang Ang, Amir Zadeh, Chuan Li, Dorien Herremans, Ziwei Wang, Soujanya Poria

机构 * Nanyang Technological University（南洋理工大学） ； Lambda Labs（Lambda实验室） ； Singapore University of Technology and Design（新加坡科技设计大学） 纠错

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.AI、cs.RO

Comments https://declare-lab.github.io/nora-1.5

Addressing Corner Cases in Autonomous Driving: A World Model-based Approach with Mixture of Experts and LLMs

Haicheng Liao, Bonan Wang, Junxian Yang, Chengyue Wang, Zhengbin He, Guohui Zhang, Chengzhong Xu, Zhenning Li

机构 * State Key Laboratory of Internet of Things for Smart City, University of Macau（物联网智能城市国家重点实验室，澳门大学） ； Department of Computer and Information Science, University of Macau（计算机与信息科学系，澳门大学） ； Department of Civil and Environmental Engineering, University of Macau（土木与环境工程系，澳门大学） ； Senseable City Lab, Massachusetts Institute of Technology（可感知城市实验室，麻省理工学院） ； Department of Civil and Environmental Engineering, University of Hawaii（土木与环境工程系，夏威夷大学） 纠错

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.AI、cs.CV

Dyna-Think: Synergizing Reasoning, Acting, and World Model Simulation in AI Agents

Xiao Yu, Baolin Peng, Ruize Xu, Michel Galley, Hao Cheng, Suman Nath, Jianfeng Gao, Zhou Yu

机构 * Columbia University（哥伦比亚大学） ； Microsoft Research（微软研究院） 纠错

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.AI、cs.LG

AirScape: An Aerial Generative World Model with Motion Controllability

Baining Zhao, Rongze Tang, Mingyuan Jia, Ziyou Wang, Fanghang Man, Xin Zhang, Yu Shang, Weichen Zhang, Wei Wu, Chen Gao, Xinlei Chen, Yong Li

机构 * Shenzhen International Graduate School, Tsinghua University Pengcheng Laboratory Shenzhen China ； School of Computer Science \& Technology, Beijing Institute of Technology Beijing China ； Department of Automation, Tsinghua University Beijing China ； Communication Engineering College, Northeastern University Qinhuangdao China ； Shenzhen International Graduate School, Tsinghua University Shenzhen China ； Department of Electronic Engineering, Tsinghua University Beijing China ； BNRist, Tsinghua University Beijing China ； Department of Electronic Engineering, Tsinghua University BNRist, Tsinghua University Beijing China ； Shenzhen International Graduate School, Tsinghua University Pengcheng Laboratory ； School of Computer Science \& Technology, Beijing Institute of Technology ； Department of Automation, Tsinghua University ； Communication Engineering College, Northeastern University ； Shenzhen International Graduate School, Tsinghua University ； Department of Electronic Engineering, Tsinghua University ； BNRist, Tsinghua University ； Department of Electronic Engineering, Tsinghua University BNRist, Tsinghua University 纠错

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.AI、cs.RO

MAPF-World: Action World Model for Multi-Agent Path Finding

Zhanjiang Yang, Yang Shen, Yueming Li, Meng Li, Lijun Sun

机构 * Shenzhen Technology University（深圳科技大学） ； University of Technology Sydney（悉尼技术大学） 纠错

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.AI、cs.MA

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving

Yanchen Guan, Haicheng Liao, Chengyue Wang, Xingcheng Liu, Jiaxun Zhang, Zhenning Li

机构 * State Key Laboratory of Internet of Things for Smart City（物联网智能城市国家重点实验室） ； University of Macau（澳门大学） ； Department of Civil Engineering（土木工程系） ； Department of Computer and Information Science（计算机与信息科学系） 纠错

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.LG、cs.CV

A Causal World Model Underlying Next Token Prediction: Exploring GPT in a Controlled Environment

Raanan Y. Rohekar, Yaniv Gurwicz, Sungduk Yu, Estelle Aflalo, Vasudev Lal

机构 * Intel Labs（英特尔实验室） 纠错

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.AI、cs.LG

Comments International Conference on Machine Learning (ICML), 2025

Learning Counterfactually Decoupled Attention for Open-World Model Attribution

Yu Zheng, Boyang Gong, Fanye Kong, Yueqi Duan, Bingyao Yu, Wenzhao Zheng, Lei Chen, Jiwen Lu, Jie Zhou

机构 * Tsinghua University（清华大学） 纠错

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.LG、cs.CV

Comments Accepted by ICCV 2025. Code: \url{https://github.com/yzheng97/CDAL}

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning

Azad Deihim, Eduardo Alonso, Dimitra Apostolopoulou

机构 * Artificial Intelligence Research Centre (CitAI), City St George’s, University of London（人工智能研究中心（CitAI）、圣乔治大学） ； Oxford Institute for Energy Studies (OIES), University of Oxford（牛津能源研究所（OIES）、牛津大学） 纠错

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.LG、cs.MA

Occupancy World Model for Robots

Zhang Zhang, Qiang Zhang, Wei Cui, Shuai Shi, Yijie Guo, Gang Han, Wen Zhao, Jingkai Sun, Jiahang Cao, Jiaxu Wang, Hao Cheng, Xiaozhu Ju, Zhengping Che, Renjing Xu, Jian Tang

机构 * Beijing Innovation Center of Humanoid Robotics（北京人形机器人创新中心） ； Beijing Institute of Technology（北京理工大学） ； Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州）） 纠错

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.CV、cs.RO

Learning to Drive from a World Model

Mitchell Goff, Greg Hogan, George Hotz, Armand du Parc Locmaria, Kacper Raczy, Harald Schäfer, Adeeb Shihadeh, Weixing Zhang, Yassine Yousfi

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.CV、cs.RO

ManipDreamer: Boosting Robotic Manipulation World Model with Action Tree and Visual Guidance

Ying Li, Xiaobao Wei, Xiaowei Chi, Yuming Li, Zhongyu Zhao, Hao Wang, Ningning Ma, Ming Lu, Shanghang Zhang

机构 * State Key Laboratory of Multimedia Information Processing（多媒体信息处理国家重点实验室） ； School of Computer Science, Peking University（北京大学计算机学院） ； Hong Kong University of Science and Technology（香港科技大学） ； Autonomous Driving Development, NIO（蔚来自动驾驶研发） 纠错

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.AI、cs.RO

Comments 9 pages, 3 figures

Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction

Anthony GX-Chen, Kenneth Marino, Rob Fergus

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.AI、cs.LG

Comments ICLR 2025

FACTS: A Factored State-Space Framework For World Modelling

Li Nanbo, Firas Laakom, Yucheng Xu, Wenyi Wang, Jürgen Schmidhuber

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.AI、cs.LG

Comments Code released in https://github.com/NanboLi/FACTS

Journal ref ICLR 2025

Learning Humanoid Locomotion with World Model Reconstruction

Wandong Sun, Long Chen, Yongbo Su, Baoshi Cao, Yang Liu, Zongwu Xie

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.LG、cs.RO

Learning To Explore With Predictive World Model Via Self-Supervised Learning

Alana Santana, Paula P. Costa, Esther L. Colombini

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.AI、cs.LG

RenderWorld: World Model with Self-Supervised 3D Label

Ziyang Yan, Wenzhen Dong, Yihua Shao, Yuhang Lu, Liu Haiyang, Jingwen Liu, Haozhe Wang, Zhe Wang, Yan Wang, Fabio Remondino, Yuexin Ma

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.AI、cs.CV

Comments Accepted in 2025 IEEE International Conference on Robotics and Automation (ICRA)

World Model-based Perception for Visual Legged Locomotion

Hang Lai, Jiahang Cao, Jiafeng Xu, Hongtao Wu, Yunfeng Lin, Tao Kong, Yong Yu, Weinan Zhang

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.LG、cs.RO

Comments under review

Learning Multiple Probabilistic Decisions from Latent World Model in Autonomous Driving

Lingyu Xiao, Jiang-Jiang Liu, Sen Yang, Xiaofan Li, Xiaoqing Ye, Wankou Yang, Jingdong Wang

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.AI、cs.RO

OccLLaMA: An Occupancy-Language-Action Generative World Model for Autonomous Driving

Julong Wei, Shanshuai Yuan, Pengfei Li, Qingda Hu, Zhongxue Gan, Wenchao Ding

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.CV、cs.RO

Advancing Humanoid Locomotion: Mastering Challenging Terrains with Denoising World Model Learning

Xinyang Gu, Yen-Jen Wang, Xiang Zhu, Chengming Shi, Yanjiang Guo, Yichen Liu, Jianyu Chen

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.AI、cs.RO

Comments Robotics: Science and Systems (RSS), 2024. (Best Paper Award Finalist)

CarDreamer: Open-Source Learning Platform for World Model based Autonomous Driving

Dechen Gao, Shuangyu Cai, Hanchu Zhou, Hang Wang, Iman Soltani, Junshan Zhang

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.AI、cs.RO

Comments Dechen Gao, Shuangyu Cai, Hanchu Zhou, Hang Wang contributed equally

Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train

Haojun Jiang, Meng Li, Zhenguo Sun, Ning Jia, Yu Sun, Shaqi Luo, Shiji Song, Gao Huang

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.AI、cs.CV

Comments Accepted by MICCAI 2024 ASMUS Workshop

BWArea Model: Learning World Model, Inverse Dynamics, and Policy for Controllable Language Generation

Chengxing Jia, Pengyuan Wang, Ziniu Li, Yi-Chen Li, Zhilong Zhang, Nan Tang, Yang Yu

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.LG；dynamics model(abstract)

ADriver-I: A General World Model for Autonomous Driving

Fan Jia, Weixin Mao, Yingfei Liu, Yucheng Zhao, Yuqing Wen, Chi Zhang, Xiangyu Zhang, Tiancai Wang

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.CV、cs.RO

Comments Tech Report

Reasoning with Language Model is Planning with World Model

Shibo Hao, Yi Gu, Haodi Ma, Joshua Jiahua Hong, Zhen Wang, Daisy Zhe Wang, Zhiting Hu

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.AI、cs.LG

Comments EMNLP 2023. Code is available at https://github.com/Ber666/llm-reasoners