This is a repository of the A2C reinforcement learning algorithm in the newest
PyTorch (as of 03.06.2019) including also Tensorboard logging. The agent.py
file contains a wrapper around the neural network, which can come handy if
implementing e.g. curiosity-driven exploration.
Running should be straightforward, all the command line arguments can be found in
utils.py. Running
python ./main.pyshould launch the training on Pong.
While trying to immerse into deep reinforcement learning, I created this repo to give you a well documented resource for A2C, as in my opinion, most publicly available repositories are either not self-explanatory or just not documented well.
I would like to list the repos I collected lots of help, please not that many of them offer a much wider range of functionality, which was not the goal in my case.