Machine Learning Nanodegree capstone - Solving Breakout with Deep Reinforcement Learning

In this capstone project I evaluate the algorithms DQN e A2C to make an AI that learns how to play Breakout.

In this project I used:

• OpenAI Gym.
• OpenAI Baselines adapted for the project, in this package. I left this working copy in the state I ran the experiments.
• TensorFlow
• cloudpickle
• numpy
• pandas
• scipy
• joblib

There is an AWS EC2 Instance ready for this and public: ami-1c79d264. This AMI have all needed packages to run the experiment and a shell script to facilitate the work. It is described in the report how to use it.

I could not use IPython notebooks because baselines package was not practical to work with Jupyter notebooks and I had to extract the results from TensorBoard and CSVs.