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on 30 June 2011
Not that there are many books on Reinforcement Learning, but this is probably the best there is. Very easy to read, covers all basic material (and some more advanced) it is actually a very enjoyable book to read if you are in the field of A.I. or robotics. Well written, with many examples and a few graphs, and explained mathematical formulas.
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on 7 January 1999
The book is easy and interesting to read. The diagrams, especially those on TD, throw a great deal of insight on the basic concept of TD. The intuitive ideas behind RL are developed clearly. At the same time all the fundamental concepts are made mathematically precise using very simple language and notation. Anybody new to RL should find this book extremely useful.
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on 20 October 1998
If you are interested in AI or more specifically, RL, I recommend buying and reading this book! It is well structured, concise, and complete. I feel like I have a strong background in Reinforcement Learning after reading this book and working some of the example problems.
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on 20 February 2014
This book covers the ground essential to understanding much of the work out their published on RL. It's hard going but worth the effort, if you can stand the relentless bellman equations. I found the monte-carlo sections of this book particularly grueling, but that I think says more about my limits than the content of this book.
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on 6 May 2014
This is a great book on reinforcement learning. There is enough detail for the reader to be able to implement a decent reinforcement learning algorithm after reading this book.
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