Pytorch implementation of the PAAC algorithm presented in "Efficient Parallel Methods for Deep Reinforcement Learning". PAAC is the abbreviation of Parallel Advantage Actor-Critic.
Currently, because the PAAC network is not using LSTM, the evaluation result is not very good. I'm working on the LSTM version of PAAC (waiting for a new graphic card due to lack of current gpu's memory.)
The original paper is here: https://arxiv.org/abs/1705.04862
PAAC.pytorch requires torch, torchvision, PIL, gym.
Libraries used in this project:
- torch==0.1.12+32e6665
- torchvision==0.1.8
- Pillow==4.1.1
- gym@797a25d1b1a8823b305fdb575c4378a5c288b432
