Reinforcement Learning Tic Tac Toe Python Implementation

Reinforcement learning is a Machine Learning paradigm oriented on agents learning to take the best decisions in order to maximize a reward. It is a very popular type of Machine Learning algorithms because some view it as a way to build algorithms that act as close as possible to human beings: choosing the action at every step so that you get the highest reward possible. While in the other article we've explored the technical aspects of Reinforcement Learning, this time we will focus on the more practical aspects of the task. So let's jump right into the code. We will need to install only 2 dependencies for this one.