机器人 / 具身智能

GLAM: Global-Local Variation Awareness in Mamba-based World Model

Qian He, Wenqi Liang, Chunhui Hao, Gan Sun, Jiandong Tian

专题命中 具身推理 ：world model(title,abstract)；分类 cs.LG

Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving

Yu Yang, Jianbiao Mei, Yukai Ma, Siliang Du, Wenqing Chen, Yijie Qian, Yuxiang Feng, Yong Liu

专题命中 具身推理 ：world model(title,abstract)；分类 cs.CV

Comments Accepted by AAAI2025

UniZero: Generalized and Efficient Planning with Scalable Latent World Models

Yuan Pu, Yazhe Niu, Zhenjie Yang, Jiyuan Ren, Hongsheng Li, Yu Liu

专题命中 具身推理 ：world model(title,abstract)；分类 cs.LG

Comments 42 pages, 22 figures

Stealthy Backdoor Attack to Real-world Models in Android Apps

Jiali Wei, Ming Fan, Xicheng Zhang, Wenjing Jiao, Haijun Wang, Ting Liu

专题命中 具身推理 ：world model(title,abstract)；分类 cs.AI

DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers

Yuntao Chen, Yuqi Wang, Zhaoxiang Zhang

专题命中 具身推理 ：world model(title,abstract)；分类 cs.CV

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training

Haiming Zhang, Ying Xue, Xu Yan, Jiacheng Zhang, Weichao Qiu, Dongfeng Bai, Bingbing Liu, Shuguang Cui, Zhen Li

专题命中 具身推理 ：world model(title,abstract)；分类 cs.CV

Physical Informed Driving World Model

Zhuoran Yang, Xi Guo, Chenjing Ding, Chiyu Wang, Wei Wu

专题命中 具身推理 ：world model(title,abstract)；分类 cs.CV

Comments project homepage: https://metadrivescape.github.io/papers_project/DrivePhysica/page.html

DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

Guosheng Zhao, Chaojun Ni, Xiaofeng Wang, Zheng Zhu, Xueyang Zhang, Yida Wang, Guan Huang, Xinze Chen, Boyuan Wang, Youyi Zhang, Wenjun Mei, Xingang Wang

专题命中 具身推理 ：world model(title,abstract)；分类 cs.CV

Comments Project Page: https://drivedreamer4d.github.io

Emergence of Implicit World Models from Mortal Agents

Kazuya Horibe, Naoto Yoshida

专题命中 具身推理 ：world model(title,abstract)；分类 cs.LG

Comments Accepted as a 1-page tiny paper in the Intrinsically Motivated Open-ended Learning workshop at NeurIPS 2024

World Models: The Safety Perspective

Zifan Zeng, Chongzhe Zhang, Feng Liu, Joseph Sifakis, Qunli Zhang, Shiming Liu, Peng Wang

专题命中 具身推理 ：world model(title,abstract)；分类 cs.AI

Comments 8 pages, 3 figures, accepted at the International Workshop on Dependability Modeling and Design (WDMD) during the IEEE International Symposium on Software Reliability Engineering (ISSRE)

Simplifying Latent Dynamics with Softly State-Invariant World Models

Tankred Saanum, Peter Dayan, Eric Schulz

专题命中 具身推理 ：world model(title,abstract)；分类 cs.LG

Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search

Nicola Dainese, Matteo Merler, Minttu Alakuijala, Pekka Marttinen

专题命中 具身推理 ：world model(title,abstract)；分类 cs.AI

Comments Accepted at NeurIPS 2024, Main Track. 11 pages in main text, 40 pages including references and supplementary materials. 2 figures and 3 tables in the main text, 9 figures and 12 tables when including the supplementary materials. Website at https://sites.google.com/view/code-world-models/home

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

Lancelot Da Costa

专题命中 具身推理 ：world model(title,abstract)；分类 cs.AI

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

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

DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Songen Gu, Wei Yin, Bu Jin, Xiaoyang Guo, Junming Wang, Haodong Li, Qian Zhang, Xiaoxiao Long

专题命中 具身推理 ：world model(title,abstract)；分类 cs.CV

Comments Please visit our project page at https://gusongen.github.io/DOME

WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents

Siyu Zhou, Tianyi Zhou, Yijun Yang, Guodong Long, Deheng Ye, Jing Jiang, Chengqi Zhang

专题命中 具身推理 ：world model(title,abstract)；分类 cs.AI

Comments 35 pages, including references and appendix. Code is available at https://github.com/elated-sawyer/WALL-E

Grounded Answers for Multi-agent Decision-making Problem through Generative World Model

Zeyang Liu, Xinrui Yang, Shiguang Sun, Long Qian, Lipeng Wan, Xingyu Chen, Xuguang Lan

专题命中 具身推理 ：world model(title,abstract)；分类 cs.AI

Comments The Thirty-eighth Annual Conference on Neural Information Processing Systems

WorldGPT: Empowering LLM as Multimodal World Model

Zhiqi Ge, Hongzhe Huang, Mingze Zhou, Juncheng Li, Guoming Wang, Siliang Tang, Yueting Zhuang

专题命中 具身推理 ：world model(title,abstract)；分类 cs.AI

Comments update v2

WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment

Hao Tang, Darren Key, Kevin Ellis

专题命中 具身推理 ：world model(title,abstract)；分类 cs.AI

Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2)

Qifeng Li, Xiaosong Jia, Shaobo Wang, Junchi Yan

专题命中 具身推理 ：world model(title,abstract)；分类 cs.RO

Comments Accepted by ECCV 2024

Understanding Physical Dynamics with Counterfactual World Modeling

Rahul Venkatesh, Honglin Chen, Kevin Feigelis, Daniel M. Bear, Khaled Jedoui, Klemen Kotar, Felix Binder, Wanhee Lee, Sherry Liu, Kevin A. Smith, Judith E. Fan, Daniel L. K. Yamins

专题命中 具身推理 ：world model(title,abstract)；分类 cs.CV

Comments ECCV 2024. Project page at: https://neuroailab.github.io/cwm-physics/

Emergent World Models and Latent Variable Estimation in Chess-Playing Language Models

Adam Karvonen

专题命中 具身推理 ：world model(title,abstract)；分类 cs.LG

Comments Accepted to the 2024 Conference on Language Modeling

Predicting vs. Acting: A Trade-off Between World Modeling & Agent Modeling

Margaret Li, Weijia Shi, Artidoro Pagnoni, Peter West, Ari Holtzman

专题命中 具身推理 ：world model(title,abstract)；分类 cs.AI

CoDreamer: Communication-Based Decentralised World Models

Edan Toledo, Amanda Prorok

专题命中 具身推理 ：world model(title,abstract)；分类 cs.AI

Cognitively Inspired Energy-Based World Models

Alexi Gladstone, Ganesh Nanduru, Md Mofijul Islam, Aman Chadha, Jundong Li, Tariq Iqbal

专题命中 具身推理 ：world model(title,abstract)；分类 cs.LG

Comments 23 pages, 6 figures

World Modeling for Autonomous Wheel Loaders

Koji Aoshima, Arvid Fälldin, Eddie Wadbro, Martin Servin

专题命中 具身推理 ：world model(title,abstract)；分类 cs.RO

Comments 23 pages, 19 figures

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 具身推理 ：world model(title,abstract)；分类 cs.LG

Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model

Zeyu Gao, Yao Mu, Chen Chen, Jingliang Duan, Shengbo Eben Li, Ping Luo, Yanfeng Lu

专题命中 具身推理 ：world model(title,abstract)；分类 cs.LG

Comments 13 pages, 13 figures, 4 tables, this version is accepted by IEEE Transactions on Intelligent Transportation Systems, the workshop version can be found in NeurIPS Deep RL Workshop 2022

DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving

Chen Min, Dawei Zhao, Liang Xiao, Jian Zhao, Xinli Xu, Zheng Zhu, Lei Jin, Jianshu Li, Yulan Guo, Junliang Xing, Liping Jing, Yiming Nie, Bin Dai

专题命中 具身推理 ：world model(title,abstract)；分类 cs.CV

Comments Accepted by CVPR2024

Compete and Compose: Learning Independent Mechanisms for Modular World Models

Anson Lei, Frederik Nolte, Bernhard Schölkopf, Ingmar Posner

专题命中 具身推理 ：world model(title,abstract)；分类 cs.LG

DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation

Guosheng Zhao, Xiaofeng Wang, Zheng Zhu, Xinze Chen, Guan Huang, Xiaoyi Bao, Xingang Wang

专题命中 具身推理 ：world model(title,abstract)；分类 cs.CV

Comments Project Page: https://drivedreamer2.github.io