Pytorch implementation of CEM-RL: https://arxiv.org/pdf/1810.01222.pdf
To reproduce the results of the paper:
Without importance mixing:
python es_grad.py --env ENV_NAME --use_td3 --output OUTPUT_FOLDER
With importance mixing:
python es_grad_im.py --env ENV_NAME --use_td3 --output OUTPUT_FOLDER
TD3:
python distributed.py --env ENV_NAME --use_td3 --output OUTPUT_FOLDER