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