Rating: 
Summary: An excellent introduction to Reinforcement Learning
Review: This is probably one of the best book I have read in the past 1 year.The authors present the subject with an excellent balance of mathematical, computational and intuitive material. The book also includes plenty of real-life examples to explain the concepts and motivations for the algorithms. The book starts with examples and intuitive introduction and definition of reinforcement learning. It follows with 3 chapters on the 3 fundamental approaches to reinforcement learning: Dynamic programming, Monte Carlo and Temporal Difference methods. Subsequent chapters build on these methods to generalize to a whole spectrum of solutions and algorithms. The book is very readable by average computer students. Possibly the only difficult one is chapter 8, which deals with some neural network concepts. I highly recommend this book to anyone who wants to learn about this subject.
Rating: 
Summary: Need solution
Review: Why are you holding solution manual? I'm a college graduate with degree in ME. Stop torturing us. Share the information, please.
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