Reinforcement learning an introduction

Presents the book "Reinforcement Learning: An Introduction," written by Richard S. Sutton and Andrew G. Barto and published by the Massachusetts Institute of Technology (MIT) Press in 1998. The book is a textbook targeted toward engineers and scientists in artificial intelligence, operatio...

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Bibliographic Details
Main Author Sutton, Richard S.
Other Authors Barto, Andrew G.
Format Electronic eBook
LanguageEnglish
Published Cambridge, Mass. : MIT Press, ©1998.
SeriesAdaptive computation and machine learning.
Subjects
Reinforcement learning.
Massachusetts Institute of Technology Press.
Cambridge (Mass.)
elektronické knihy
electronic books
Online AccessFull text
ISBN9780262257053
Physical Description1 online zdroj (xviii, 322 pages) : illustrations.

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245 1 0 |a Reinforcement learning  |h [elektronický zdroj] :  |b an introduction /  |c Richard S. Sutton and Andrew G. Barto. 
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490 1 |a Adaptive computation and machine learning 
504 |a Includes bibliographical references (pages 291-312) and index. 
505 0 0 |g 1.  |t Introduction --  |g 2.  |t Evaluative feedback --  |g 3.  |t The reinforcement learning problem --  |g 4.  |t Dynamic programming --  |g 5.  |t Monte carlo methods --  |g 6.  |t Temporal-difference learning --  |g 7.  |t Eligibility traces --  |g 8.  |t Generalization and function approximation --  |g 9.  |t Planning and learning --  |g 10.  |t Dimensions of reinforcement learning --  |g 11.  |t Case studies. 
520 8 |a Presents the book "Reinforcement Learning: An Introduction," written by Richard S. Sutton and Andrew G. Barto and published by the Massachusetts Institute of Technology (MIT) Press in 1998. The book is a textbook targeted toward engineers and scientists in artificial intelligence, operations research, neural networks, and control systems. Examines a computation approach to learning from interaction with environment. 
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