國立虎尾科技大學 |

Decision Making Under Uncertainty and Reinforcement Learning = Theory and Algorithms /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Decision Making Under Uncertainty and Reinforcement Learning/ by Christos Dimitrakakis, Ronald Ortner.
其他題名:	Theory and Algorithms /
作者:	Dimitrakakis, Christos.
其他作者:	Ortner, Ronald.
面頁冊數:	XIII, 243 p. 67 illus., 62 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
電子資源:	https://doi.org/10.1007/978-3-031-07614-5
ISBN:	9783031076145

Decision Making Under Uncertainty and Reinforcement Learning = Theory and Algorithms /
Dimitrakakis, Christos.

Decision Making Under Uncertainty and Reinforcement LearningTheory and Algorithms /[electronic resource] :by Christos Dimitrakakis, Ronald Ortner. - 1st ed. 2022. - XIII, 243 p. 67 illus., 62 illus. in color.online resource. - Intelligent Systems Reference Library,2231868-4408 ;. - Intelligent Systems Reference Library,67.

Introduction -- Subjective probability and utility -- Decision problems -- Estimation. .

This book presents recent research in decision making under uncertainty, in particular reinforcement learning and learning with expert advice. The core elements of decision theory, Markov decision processes and reinforcement learning have not been previously collected in a concise volume. Our aim with this book was to provide a solid theoretical foundation with elementary proofs of the most important theorems in the field, all collected in one place, and not typically found in introductory textbooks. This book is addressed to graduate students that are interested in statistical decision making under uncertainty and the foundations of reinforcement learning. .

ISBN: 9783031076145

Standard No.: 10.1007/978-3-031-07614-5doiSubjects--Topical Terms:

646849
Artificial Intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Decision Making Under Uncertainty and Reinforcement Learning = Theory and Algorithms /
LDR:02261nam a22004095i 4500 001 1086160
003 DE-He213
005 20221202185837.0
007 cr nn 008mamaa
008 221228s2022 sz | s |||| 0|eng d
020 $a 9783031076145 $9 978-3-031-07614-5
024 7 $a 10.1007/978-3-031-07614-5 $2 doi
035 $a 978-3-031-07614-5
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
100 1 $a Dimitrakakis, Christos. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 785733
245 1 0 $a Decision Making Under Uncertainty and Reinforcement Learning $h [electronic resource] : $b Theory and Algorithms / $c by Christos Dimitrakakis, Ronald Ortner.
250 $a 1st ed. 2022.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a XIII, 243 p. 67 illus., 62 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Intelligent Systems Reference Library, $x 1868-4408 ; $v 223
505 0 $a Introduction -- Subjective probability and utility -- Decision problems -- Estimation. .
520 $a This book presents recent research in decision making under uncertainty, in particular reinforcement learning and learning with expert advice. The core elements of decision theory, Markov decision processes and reinforcement learning have not been previously collected in a concise volume. Our aim with this book was to provide a solid theoretical foundation with elementary proofs of the most important theorems in the field, all collected in one place, and not typically found in introductory textbooks. This book is addressed to graduate students that are interested in statistical decision making under uncertainty and the foundations of reinforcement learning. .
650 2 4 $a Artificial Intelligence. $3 646849
650 1 4 $a Computational Intelligence. $3 768837
650 0 $a Artificial intelligence. $3 559380
650 0 $a Computational intelligence. $3 568984
700 1 $a Ortner, Ronald. $e editor. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1267858
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783031076121
776 0 8 $i Printed edition: $z 9783031076138
776 0 8 $i Printed edition: $z 9783031108921
830 0 $a Intelligent Systems Reference Library, $x 1868-4394 ; $v 67 $3 1253823
856 4 0 $u https://doi.org/10.1007/978-3-031-07614-5
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)