Training Agents Inside of Scalable World Models
Paper
•
2509.24527
•
Published
•
6
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!
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},
}
Correspondence to: Nicklas Hansen