# Decision Transformer
Lili Chen\*, Kevin Lu\*, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas†, and Igor Mordatch†
\*equal contribution, †equal advising
A link to our paper can be found on [arXiv](https://arxiv.org/abs/2106.01345).
## Overview
Official codebase for [Decision Transformer: Reinforcement Learning via Sequence Modeling](https://sites.google.com/berkeley.edu/decision-transformer).
Contains scripts to reproduce experiments.
![image info](./architecture.png)
## Instructions
We provide code in two sub-directories: `atari` containing code for Atari experiments and `gym` containing code for OpenAI Gym experiments.
See corresponding READMEs in each folder for instructions; scripts should be run from the respective directories.
It may be necessary to add the respective directories to your PYTHONPATH.
## Citation
Please cite our paper as:
```
@article{chen2021decisiontransformer,
title={Decision Transformer: Reinforcement Learning via Sequence Modeling},
author={Lili Chen and Kevin Lu and Aravind Rajeswaran and Kimin Lee and Aditya Grover and Michael Laskin and Pieter Abbeel and Aravind Srinivas and Igor Mordatch},
journal={arXiv preprint arXiv:2106.01345},
year={2021}
}
```
Note: this is not an official Google or Facebook product.
## License
MIT
基于transformer的序列建模强化学习算法开发.zip
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