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Title: Best intro book into reinforcement learning.
Review: This book was a great help at writing and programming for my thesis. It has a ton of information, and even I was able to understand and follow the math. The book has a great introduction chapter and then basically dives into 3 learning styles thereafter (Dynamic Programming, Monte Carlo, and Temporal Difference). After reading this book, I found it easier to read other papers (many of which are from the same authors).
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