Author's implementation of "Mean-Semivariance Policy Optimization via Risk-Averse".
This code is based my forked version of rlpyt. To reproduce the results in paper, please run python run_exp.py
. Note that this python file contains all the hyperparameters I have tried on 8 GPUs. Please set your hyperparameters manually before your experiments.
@article{ma2022mean-semivariance,
title={Mean-Semivariance Policy Optimization via Risk-Averse},
author={Ma, Xiaoteng and Ma, Shuai and Xia, Li and Zhao, Qianchuan},
journal={Jounal of Artificial Intelligence Research},
volume={75},
pages={569-595},
year={2022}
}