A version of Decision Transformer (see below) modified to satisfice, including Expectation Updating along the trajectory.
Original code contributors: see below.
Modifications: Jobst Heitzig
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