Return-Parity-MDP - Towards Return Parity in Markov Decision Processes

Overview

Towards Return Parity in Markov Decision Processes

Code for the AISTATS 2022 paper "Towards Return Parity in Markov Decision Processes". [https://arxiv.org/abs/2111.10476]

If you find this repo useful for your research, please consider citing our paper

@inproceedings{chi2022towards,
  title={Towards Return Parity in Markov Decision Processes},
  author={Chi, Jianfeng and Shen, Jian and Dai, Xinyi and Zhang, Weinan and Tian, Yuan and Zhao, Han},
  booktitle={International Conference on Artificial Intelligence and Statistics},
  year={2022},
  organization={PMLR}
}

Installation

This repo was tested with Python 3.6 Pytorch 1.9 with CUDA 11.1. Please go the Pytorch official website to install the corresponding version. For other requirements, please check out the requirements.txt

pip install -r requirements.txt
Owner
Jianfeng Chi
PhD Candidate in Computer Science at University of Virginia
Jianfeng Chi
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