README.md

metadata

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 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