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.