2025 Poster "world models" Papers

17 papers found

Discrete Codebook World Models for Continuous Control

Aidan Scannell, Mohammadreza Nakhaeinezhadfard, Kalle Kujanpää et al.

ICLR 2025posterarXiv:2503.00653
9
citations

Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning

Qi Wang, Zhipeng Zhang, Baao Xie et al.

ICCV 2025posterarXiv:2503.08751
5
citations

Disentangling Representations through Multi-task Learning

Pantelis Vafidis, Aman Bhargava, Antonio Rangel

ICLR 2025posterarXiv:2407.11249
5
citations

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

Guosheng Zhao, Chaojun Ni, Xiaofeng Wang et al.

CVPR 2025posterarXiv:2410.13571
84
citations

ElasticTok: Adaptive Tokenization for Image and Video

Wilson Yan, Volodymyr Mnih, Aleksandra Faust et al.

ICLR 2025posterarXiv:2410.08368
21
citations

FOSP: Fine-tuning Offline Safe Policy through World Models

Chenyang Cao, Yucheng Xin, Silang Wu et al.

ICLR 2025posterarXiv:2407.04942
3
citations

Imagined Autocurricula

Ahmet Hamdi Güzel, Matthew T Jackson, Jarek Liesen et al.

NEURIPS 2025posterarXiv:2509.13341
2
citations

IRASim: A Fine-Grained World Model for Robot Manipulation

Fangqi Zhu, Hongtao Wu, Song Guo et al.

ICCV 2025posterarXiv:2406.14540
21
citations

Learning View-invariant World Models for Visual Robotic Manipulation

Jing-Cheng Pang, Nan Tang, Kaiyuan Li et al.

ICLR 2025poster

Neural Motion Simulator Pushing the Limit of World Models in Reinforcement Learning

Chenjie Hao, Weyl Lu, Yifan Xu et al.

CVPR 2025posterarXiv:2504.07095
5
citations

Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation

Yang Tian, Sizhe Yang, Jia Zeng et al.

ICLR 2025posterarXiv:2412.15109
85
citations

Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2)

Zhenjie Yang, Xiaosong Jia, Qifeng Li et al.

NEURIPS 2025posterarXiv:2505.16394
18
citations

Revisiting Multi-Agent World Modeling from a Diffusion-Inspired Perspective

Yang Zhang, Xinran Li, Jianing Ye et al.

NEURIPS 2025posterarXiv:2505.20922
4
citations

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

Jan Robine, Marc Höftmann, Stefan Harmeling

ICLR 2025posterarXiv:2506.02612
4
citations

ViewPoint: Panoramic Video Generation with Pretrained Diffusion Models

Zixun Fang, Kai Zhu, Zhiheng Liu et al.

NEURIPS 2025posterarXiv:2506.23513

Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

Hyungjoo Chae, Namyoung Kim, Kai Ong et al.

ICLR 2025posterarXiv:2410.13232
59
citations

World Models Should Prioritize the Unification of Physical and Social Dynamics

Xiaoyuan Zhang, Chengdong Ma, Yizhe Huang et al.

NEURIPS 2025posterarXiv:2510.21219