Update: I've been reading a lot more since I first started this thing. In 2020 all, if not most, of this repository will be replaced.
Update 2: I grossly overestimated my free time.
Latest Experiment: divergent policies
These are a collection of algorithms for learning the game of snake primarily. Each algorithm is separated into it's own respective directory.
Both dqn and neat use an old variant of snake that I wrote. That version of snake was primarily meant to be played by a human, thus the code was not organised very well, and no results for those experiments could be gathered due to the inefficiency of the game. The new experiment divergent policies fixes this by implementing a considerably faster version of snake, and attempts to match the OpenAI Gym API.
