Knowledge required for understanding AlphaZero paper My goal is to understand AlphaZero paper published by deepmind. I'm beginning my journey trying to get the basic intuition of reinforcement learning from the book by Barto and Sutton. 

As per my background, I'm familiar with MDPs, value iteration and policy iteration.

I wanted to ask till what chapter of Barto and Sutton's book is one required to read in order to fully comprehend AlphaZero paper. Monte-Carlo Tree Search is discussed in Chapter-8 of the book. Will it be enough till that? Or would I be needing more resources apart from this book? Thanks.
The more you read, the more deeply you can understand any paper, but given your stated background, reading the Monte-Carlo Tree Search chapter of Barto &amp; Sutton, plus Gerald Tesauro's TD-Gammon paper (which is pretty accessible, and which is the basis for the other technique used in AlphaZero) should be enough to get a pretty good idea of what they did.