Implementation of reinforcement learning using exploring starts Monte Carlo methods.
Main reinforcement learning algorithm is based on the algorithm in this book in chapter 5.
Run ./run and then open snakeUI.html, select the policy.txt file and watch the snake eating apples. The snake will not learn live, it just acts according to the learned policy. If the snake is stuck or leaves the board too often, you can adjust the parameters of the learning process in Utils.hpp.