In this project I aim to implement NEAT in python. Then I will try solve the CartPole problem using it. I will use OpenAI Gym's environment for this. I also plan to make this program multi-threaded so that I can have multiple runs (with possibly different configurations) running in parallel.

I also want to make a supporting web application that will handle real-time plotting as I have found matplotlib to be a bit lacking in that area. This as an opportunity to practice some web development skills and learn some new tech. This web application would be a RESTful application served locally from a flask server running in docker container, backed by MongoDB or possibly PostgreSQL. For the front end of things I will probably use a combination of Twitter Bootstrap, React, and JavaScript Live.

Check out the wiki pages for relevant resources and the projects page to see the progress of brainstorming, planning, and implementation. This project is split up into three subprojects: the actual genetic algorithm implementation, the RESTful API that provides access to test data, and the dashboard that provides visualizations of previous runs and a real time visualization test runs that are in progress. Each subproject contains a README.md with further details.

I intend on building up a test suite as I go. This can be run with the 'test_suite.sh' script, although you probably don't need to do this yourself since Travis CI does this for you.