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---
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license: mit
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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)
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