Resources for RL

There are multiple resources on RL out there and in this post, I am summarizing the materials I used to get a good grasp of Reinforcement Learning.

Image courtesy: Unsplash.com

Let me start with an awesome article by Andrej Karpathy

and yes as he mentioned RL is hot!!!

Going through these resources side by side is a great way to get a feel of theory and practical implementation:

1. Reinforcement Learning An Introduction by R. S. Sutton and A. G. Barto

2. Lectures by David Silver

3. CS 285 at UC Berkeley (Deep Reinforcement Learning)

And yes, coding each algorithms helps to get an intuitive feel and there are lot of implementations out there. A great resource for the implementation of the algorithms can be found at

Enjoy the journey!!!!