Asynchronous Methods for Deep Reinforcement Learning in TensorFlow + OpenAI Gym

This is an implementation of Asynchronous Methods for Deep Reinforcement Learning (based on Mnih et al., 2016) in TensorFlow + OpenAI Gym.

Requirements

• gym (Atari environment)
• scikit-image
• tensorflow

Results

Coming soon...

Usage

Training

For asynchronous advantage actor-critic, run:

python main.py

Visualizing learning with TensorBoard

Run the following:

tensorboard --logdir=summary/

References

• Mnih et al., 2016, Asynchronous Methods for Deep Reinforcement Learning
• coreylynch/async-rl
• miyosuda/async_deep_reinforce
• muupan/async-rl Wiki
• stackoverflow: Asynchronous computation in tensorflow