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Reinforcement learning : = an introd...

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Sutton, Richard S.

Reinforcement learning : = an introduction /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Reinforcement learning :/ Richard S. Sutton and Andrew G. Barto.
Reminder of title:	an introduction /
Author:	Sutton, Richard S.
other author:	Barto, Andrew G.
Published:	Cambridge, MA :The MIT Press, : c2018.,
Description:	xxii, 526p. :ill. (some col.) ; : 24cm.;
Subject:	Reinforcement learning. -
ISBN:	9780262039246 :

Reinforcement learning : = an introduction /
Sutton, Richard S.

Reinforcement learning :an introduction /Richard S. Sutton and Andrew G. Barto. - 2nd ed. - Cambridge, MA :The MIT Press,c2018. - xxii, 526p. :ill. (some col.) ;24cm. - Adaptive computation and machine learning.

Includes bibliographical references (p. [481]-518) and index.

"Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms."--

ISBN: 9780262039246 :NT2428

LCCN: 2018023826Subjects--Topical Terms:

815404
Reinforcement learning.

LC Class. No.: Q325.6 / .R45 2018

Dewey Class. No.: 006.3/1

Reinforcement learning : = an introduction /
LDR:01136cam a2200229 a 4500 001 942244
005 20200330144046.0
008 200505s2018 maua b 001 0 eng
010 $a 2018023826
020 $a 9780262039246 : $c NT2428
035 $a 20515853
040 $a DLC $b eng $c DLC $d NFU
041 0 # $a eng
042 $a pcc
050 0 0 $a Q325.6 $b .R45 2018
082 0 0 $a 006.3/1 $2 23
100 1 $a Sutton, Richard S. $3 1229971
245 1 0 $a Reinforcement learning : $b an introduction / $c Richard S. Sutton and Andrew G. Barto.
250 $a 2nd ed.
260 # $a Cambridge, MA : $b The MIT Press, $c c2018.
300 $a xxii, 526p. : $b ill. (some col.) ; $c 24cm.
490 0 $a Adaptive computation and machine learning
504 $a Includes bibliographical references (p. [481]-518) and index.
520 # $a "Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms."-- $c Provided by publisher.
650 # 0 $a Reinforcement learning. $3 815404
700 1 # $a Barto, Andrew G. $3 1229972

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E046550

圖書館3F 書庫

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一般圖書

006.31 S9672 2018

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1 records • Pages 1 •
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