This is a PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
This implementation is inspired by Universe Starter Agent. In contrast to the starter agent, it uses an optimizer with shared statistics as in the original paper.
Please use this bibtex if you want to cite this repository in your publications:
@misc{pytorchaaac,
author = {Kostrikov, Ilya},
title = {PyTorch Implementations of Asynchronous Advantage Actor Critic},
year = {2018},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/ikostrikov/pytorch-a3c}},
}