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Reinforcement learning :an introduct...

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Barto, Andrew G.

Reinforcement learning :an introduction /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.3/1
書名/作者:	Reinforcement learning : : an introduction // Richard S. Sutton and Andrew G. Barto.
作者:	Sutton, Richard S.
其他作者:	Barto, Andrew G.
出版者:	Cambridge, Mass. : : MIT Press,, c2018.
面頁冊數:	xxii, 526 p. : : ill. (some col.) ;; 24 cm.
標題:	Reinforcement learning.
ISBN:	9780262039246 (hbk.) :
書目註:	Includes bibliographical references (p. [481]-518) and index.
摘要、提要註:	"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."--

Reinforcement learning :an introduction /
Sutton, Richard S.

Reinforcement learning :an introduction /Richard S. Sutton and Andrew G. Barto. - 2nd ed. - Cambridge, Mass. :MIT Press,c2018. - xxii, 526 p. :ill. (some col.) ;24 cm. - 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 (hbk.) :NTD 2,504

LCCN: 2018023826Subjects--Topical Terms:

469220
Reinforcement learning.

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

Dewey Class. No.: 006.3/1

Reinforcement learning :an introduction /
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020 $a 9780262039246 (hbk.) : $c NTD 2,504
040 $a DLC $b eng $c DLC $d DLC $d DYU
041 0 $a eng
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 679425
245 1 0 $a Reinforcement learning : $b an introduction / $c Richard S. Sutton and Andrew G. Barto.
250 $a 2nd ed.
260 $a Cambridge, Mass. : $b MIT Press, $c c2018.
300 $a xxii, 526 p. : $b ill. (some col.) ; $c 24 cm.
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 469220
700 1 $a Barto, Andrew G. $3 679426

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