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# Transformers are Sample Efficient World Models (IRIS)
# Transformers are Sample-Efficient World Models (IRIS)
[Transformers are Sample Efficient World Models](https://arxiv.org/abs/2209.00588) <br>
[Transformers are Sample-Efficient World Models](https://openreview.net/forum?id=vhFu1Acb0xb) <br>
[Vincent Micheli](https://vmicheli.github.io)\*, [Eloi Alonso](https://eloialonso.github.io)\*, [François Fleuret](https://fleuret.org/francois/) <br>
\* Denotes equal contribution
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If you find this code or paper useful, please use the following reference:
```
@article{iris2022,
title={Transformers are Sample Efficient World Models},
author={Micheli, Vincent and Alonso, Eloi and Fleuret, François},
journal={arXiv preprint arXiv:2209.00588},
year={2022}
@inproceedings{
iris2023,
title={Transformers are Sample-Efficient World Models},
author={Vincent Micheli and Eloi Alonso and Fran{\c{c}}ois Fleuret},
booktitle={The Eleventh International Conference on Learning Representations },
year={2023},
url={https://openreview.net/forum?id=vhFu1Acb0xb}
}
```