Q-learning for beginners
The goal of this article is to teach an AI how to solve the ❄️Frozen Lake environment using reinforcement learning. We’re going to start from scratch and try to recreate the Q-learning algorithm by ourselves. We’ll not just understand how it works, but more importantly, why it was designed that way.
By the end of this article, you’ll master the Q-learning algorithm and be able to apply it to other environments. It’s a cool mini-project that gives a better insight into how reinforcement learning works and can hopefully inspire ideas for original and creative applications.
Let’s start by installing the Frozen Lake environment and importing the necessary libraries: gym for the game, random to generate random numbers,