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--- |
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license: mit |
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tags: |
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- reinforcement learning |
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- world model |
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- continuous control |
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- robotics |
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pipeline_tag: reinforcement-learning |
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--- |
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# Dreamer 4 Models for Continuous Control |
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Checkpoints released as part of an effort to open-source world model research. See [https://github.com/nicklashansen/dreamer4](https://github.com/nicklashansen/dreamer4) for detailed instructions on how to use the released model checkpoints! |
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# Citations |
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If you find our work useful, please consider citing us as: |
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``` |
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@misc{Hansen2026Dreamer4PyTorch, |
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title={Dreamer 4 in PyTorch}, |
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author={Nicklas Hansen}, |
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year={2026}, |
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publisher={GitHub}, |
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journal={GitHub repository}, |
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howpublished={\url{https://github.com/nicklashansen/dreamer4}}, |
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} |
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``` |
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as well as the original Dreamer 4 paper: |
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``` |
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@misc{Hafner2025TrainingAgents, |
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title={Training Agents Inside of Scalable World Models}, |
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author={Danijar Hafner and Wilson Yan and Timothy Lillicrap}, |
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year={2025}, |
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eprint={2509.24527}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.AI}, |
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url={https://arxiv.org/abs/2509.24527}, |
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} |
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``` |
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## Contact |
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Correspondence to: [Nicklas Hansen](https://nicklashansen.github.io) |
