Deep Recurrent Q Learning using Tensorflow, openai/gym and openai/retro
This repository contains code for training a DQN or a DRQN on openai/gym Atari and openai/retro environments.
Note that training on Retro environments is completely experimental as of now and these environments have to
be wrapped to reduce the action space to a more sensible subspace of all
actions for each game. The wrapper currently implemented only makes sense for
the SEGA Sonic environments.
Installation
You can install all dependencies by issuing following command:
pip install -r requirements.txt
This will install Tensorflow without GPU support. However, I highly
recommend using Tensorflow with GPU support, otherwise training will
take a very long time. For more information on this topic please see https://www.tensorflow.org/install/. In order to run the retro environments, you have to gather the roms of the games you want to play and import them: https://github.com/openai/retro#roms