Reinforcement Learning: An IntroductionReinforcement learning, one of the most active research areas in artificialintelligence, is a computational approach to learning whereby an agent tries to maximize the totalamount of reward it receives when interacting with a complex, uncertain environment. InReinforcement Learning, Richard Sutton and Andrew Barto provide a clear andsimple account of the key ideas and algorithms of reinforcement learning. Their discussion rangesfrom the history of the field's intellectual foundations to the most recent developments andapplications. The only necessary mathematical background is familiarity with elementary concepts ofprobability. The book is divided into three parts. Part I defines thereinforcement learning problem in terms of Markov decision processes. Part II provides basicsolution methods: dynamic programming, Monte Carlo methods, and temporaldifference learning. PartIII presents a unified view of the solution methods and incorporates artificial neural networks,eligibility traces, and planning; the two final chapters present case studies and consider thefuture of reinforcement learning. 
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User Review  Rami alaa  GoodreadsAnd I read it again actually I'm reading the HTML version Read full review
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User Review  Fabio Zambetta  GoodreadsThat's where you want to start reading about RL. Read full review
Contents
Introduction  3 
Evaluative Feedback  25 
Elementary Solution Methods  87 
A Unified View  161 
Generalization and Function Approximation  193 
Planning and Learning  227 
Dimensions of Reinforcement Learning  255 
Case Studies  261 
References  291 
Summary of Notation  313 
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Sutton & Barto Book: Reinforcement Learning: An Introduction
Reinforcement Learning: An Introduction. Richard S. Sutton and Andrew G. Barto · MIT Press, Cambridge, MA, 1998 A Bradford Book ...
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Trends in Cognitive Sciences : Reinforcement Learning: An ...
Reinforcement Learning: An Introduction, by Sutton, rs and Barto, ag. P. Read Montague Corresponding Author Contact Information ...
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Reinforcement Learning: An Introduction  Neural Networks, IEEE ...
Reinforcement Learning: An Introduction—Richard S. Sutton. and Andrew G. Barto. (Cambridge, MA: MIT Press, 1998, 340 pp.,. hard cover, $40.00. ...
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Richard S. Sutton and Andrew G. Barto (1998) Reinforcement ...
Reinforcement Learning: An Introduction. Chapter 6:. TemporalDifference Learning. Paul Wagner. T61.6020 Reinforcement Learning  Theory and Applications ...
www.cis.hut.fi/ Opinnot/ T61.6020/ 2006/ presentations/ presentation5
citeulike: Reinforcement Learning: An Introduction (Adaptive ...
TY  BOOK ID  citeulike:112017 TI  Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning) PB  {The MIT Press} SN ...
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Reinforcement Learning: An Introduction
@Book{sutton98a, author = {Richard S. Sutton and Andrew G. Barto}, title = {Reinforcement Learning: An Introduction}, publisher = {{MIT} Press}, ...
jmvidal.cse.sc.edu/ lib/ sutton98a.html
anw.cs.umass.edu Sutton & Barto Book: Reinforcement Learning: An ...
Sutton & Barto Book: Reinforcement Learning: An Introduction bookmark ... Book: Reinforcement Learning: An Introduction please visit the original webisite : ...
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Reinforcement Learning I: Introduction  Sutton, Barto (researchindex)
Reinforcement learning: An introduction. Cambridge, MA: MIT Press. http://citeseer.ist.psu.edu/sutton98reinforcement.html More ...
citeseer.ist.psu.edu/ sutton98reinforcement.html
The Online Books Page: Reinforcement Learning: An Introduction, by ...
Title: Reinforcement Learning: An Introduction · Author: Sutton, Richard S. Author: Barton, Andrew G. Note: electronic edition. Link: HTML at umass ...
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Reinforcement Learning: An Introduction  rs Sutton, ag Barto, MIT Press, Cambridge, MA 1998, 322 pp. ISBN 0262193981. Authors: Johnson jd; Li J.; ...
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