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[Doc] Update citation (pytorch#1228)
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# TorchRL

[**Documentation**](#documentation-and-knowledge-base) | [**TensorDict**](#writing-simplified-and-portable-rl-codebase-with-tensordict) |
[**Features**](#features) | [**Examples, tutorials and demos**](#examples-tutorials-and-demos) | [**Installation**](#installation) |
[**Asking a question**](#asking-a-question) | [**Citation**](#citation) | [**Contributing**](#contributing)
[**Features**](#features) | [**Examples, tutorials and demos**](#examples-tutorials-and-demos) | [**Citation**](#citation) | [**Installation**](#installation) |
[**Asking a question**](#asking-a-question) | [**Contributing**](#contributing)

**TorchRL** is an open-source Reinforcement Learning (RL) library for PyTorch.

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We also provide [tutorials and demos](https://pytorch.org/rl/#tutorials) that give a sense of
what the library can do.

## Citation

If you're using TorchRL, please refer to this BibTeX entry to cite this work:
```
@misc{bou2023torchrl,
title={TorchRL: A data-driven decision-making library for PyTorch},
author={Albert Bou and Matteo Bettini and Sebastian Dittert and Vikash Kumar and Shagun Sodhani and Xiaomeng Yang and Gianni De Fabritiis and Vincent Moens},
year={2023},
eprint={2306.00577},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
```

## Installation

Create a conda environment where the packages will be installed.

```
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If you have a more generic question regarding RL in PyTorch, post it on
the [PyTorch forum](https://discuss.pytorch.org/c/reinforcement-learning/6).

## Citation

If you're using TorchRL, please refer to this BibTeX entry to cite this work:
```
@software{TorchRL,
author = {Moens, Vincent},
title = {{TorchRL: an open-source Reinforcement Learning (RL) library for PyTorch}},
url = {https://github.com/pytorch/rl},
version = {0.1.1},
year = {2023}
}
```

## Contributing

Internal collaborations to torchrl are welcome! Feel free to fork, submit issues and PRs.
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