An oversimplified explanation of Decision Transformer which will further extend to Online Decision Transformer. Most of the details would be mentioned in the wiki of the repo. Please find the description by the authors below.
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.
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling. Contains scripts to reproduce experiments.
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.
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.
MIT