| --- |
| license: apache-2.0 |
| tags: |
| - world model |
| - latent action |
| - decision making |
| - robot learning |
| - video generation |
| --- |
| |
| ## Introduction |
|
|
| **TL;DR:** We pretrain AdaWorld with continuous latent actions from thousands of environments, making it highly efficient for action transfer, world model adaptation, and visual planning, even with minimal interactions and finetuning steps. |
|
|
| - Project page: https://adaptable-world-model.github.io |
| - Paper: https://arxiv.org/abs/2503.18938 |
| - Code: https://github.com/Little-Podi/AdaWorld |
|
|
| ## How to Use |
|
|
| Check out https://github.com/Little-Podi/AdaWorld |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{gao2025adaworld, |
| title={AdaWorld: Learning Adaptable World Models with Latent Actions}, |
| author={Gao, Shenyuan and Zhou, Siyuan and Du, Yilun and Zhang, Jun and Gan, Chuang}, |
| journal={arXiv preprint arXiv:2503.18938}, |
| year={2025} |
| } |
| ``` |
|
|
| ## Contact |
|
|
| If you have any questions or comments, feel free to contact me through email sygao@connect.ust.hk |
