RL102: From Tabular Q-Learning to Deep Q-Learning (DQN)

This blog post is meant to be a practical introduction to (deep) reinforcement learning 1 , presenting the main concepts and providing intuitions to understand the more recent Deep RL algorithms. For a more in-depth and theoretical introduction, I recommend reading the RL Bible by Sutton and Barto. The plan for this post is to start from tabular Q-learning and work our way up to Deep Q-learning…