A must read if you're taking your first steps into RL. It covers the basics in an easy-to-understand language. Covers MDP, Q Learning, Sarsa, TD-Lamda etc.Published 9 months ago by Nahas Pareekutty
Pros: Great book about reinforcement learning. Easy to understand.
Cons: It has a hard cover with a detached paper cover.
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. Read morePublished on January 21, 2009 by William J. Andrus
I agree with reviewer Frank "Good introduction but not well structured, May 8, 2005" the authors are over-anxious to establish the credentials of RL in older research traditions. Read morePublished on February 19, 2007 by _eam 0 n_
This book provides an easy to read introduction in reinforcement learning. It covers several approaches (dynamic programming, monte carlo, temproal differnce) and gives a lot of... Read morePublished on May 8, 2005 by Zac
As a subfield of artificial intelligence, reinforcement learning has shown great success from both a theoretical and practical viewpoint. Read morePublished on November 5, 2004 by Dr. Lee D. Carlson
This book is undoubtedly the standard book on the topic of reinforcement learning by the two leading researchers in this field. Read morePublished on November 30, 2003 by Li