After studying the theory in reinforcement learning in several ways, and applying it in different occasions from MDPs to QL and DQNs, I decided to start over with a more formal education on the topic
In this repo, I will be documenting all the steps I am taking towards mastering reinforcement learning. Luckily, I came across a great book that will make this process more formalized and enjoyable. Deep Reinforcement Learning Hands-on
Work that relate directly to that book can be found here
Although I am going back to basics, I have some experience in utilizing RL for a variety of purposes and therefore I would love to collaborate on interesting projects that utilize RL, specially for robotics and autonomous vehicles.