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--- |
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license: apache-2.0 |
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tags: |
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- world model |
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- latent action |
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- decision making |
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- robot learning |
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- video generation |
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--- |
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## Introduction |
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**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. |
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- Project page: https://adaptable-world-model.github.io |
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- Paper: https://arxiv.org/abs/2503.18938 |
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- Code: https://github.com/Little-Podi/AdaWorld |
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## How to Use |
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Check out https://github.com/Little-Podi/AdaWorld |
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## Citation |
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```bibtex |
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@article{gao2025adaworld, |
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title={AdaWorld: Learning Adaptable World Models with Latent Actions}, |
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author={Gao, Shenyuan and Zhou, Siyuan and Du, Yilun and Zhang, Jun and Gan, Chuang}, |
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journal={arXiv preprint arXiv:2503.18938}, |
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year={2025} |
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} |
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``` |
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## Contact |
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If you have any questions or comments, feel free to contact me through email [email protected] |
