國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

A concise introduction to decentrali...

Amato, Christopher.

A concise introduction to decentralized POMDPs

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A concise introduction to decentralized POMDPsby Frans A. Oliehoek, Christopher Amato.
作者:	Oliehoek, Frans A.
其他作者:	Amato, Christopher.
出版者:	Cham :Springer International Publishing :2016.
面頁冊數:	xx, 134 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Decision makingData processing.
電子資源:	http://dx.doi.org/10.1007/978-3-319-28929-8
ISBN:	9783319289298$q(electronic bk.)

A concise introduction to decentralized POMDPs
Oliehoek, Frans A.

A concise introduction to decentralized POMDPs[electronic resource] /by Frans A. Oliehoek, Christopher Amato. - Cham :Springer International Publishing :2016. - xx, 134 p. :ill., digital ;24 cm. - SpringerBriefs in intelligent systems, artificial intelligence, multiagent systems, and cognitive robotics,2196-548X. - SpringerBriefs in intelligent systems.Artificial intelligence, multiagent systems, and cognitive robotics..

Multiagent Systems Under Uncertainty -- The Decentralized POMDP Framework -- Finite-Horizon Dec-POMDPs -- Exact Finite-Horizon Planning Methods -- Approximate and Heuristic Finite-Horizon Planning Methods -- Infinite-Horizon Dec-POMDPs -- Infinite-Horizon Planning Methods: Discounted Cumulative Reward -- Infinite-Horizon Planning Methods: Average Reward -- Further Topics.

This book introduces multiagent planning under uncertainty as formalized by decentralized partially observable Markov decision processes (Dec-POMDPs) The intended audience is researchers and graduate students working in the fields of artificial intelligence related to sequential decision making: reinforcement learning, decision-theoretic planning for single agents, classical multiagent planning, decentralized control, and operations research.

ISBN: 9783319289298$q(electronic bk.)

Standard No.: 10.1007/978-3-319-28929-8doiSubjects--Topical Terms:

235779
Decision making
--Data processing.

LC Class. No.: T57.95

Dewey Class. No.: 658.4032

A concise introduction to decentralized POMDPs
LDR:01922nmm a2200337 a 4500 001 490317
003 DE-He213
005 20161117131658.0
006 m d
007 cr nn 008maaau
008 170118s2016 gw s 0 eng d
020 $a 9783319289298$q(electronic bk.)
020 $a 9783319289274$q(paper)
024 7 $a 10.1007/978-3-319-28929-8 $2 doi
035 $a 978-3-319-28929-8
040 $a GP $c GP
041 0 $a eng
050 4 $a T57.95
072 7 $a UYQ $2 bicssc
072 7 $a TJFM1 $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 658.4032 $2 23
090 $a T57.95 $b .O46 2016
100 1 $a Oliehoek, Frans A. $3 749693
245 1 2 $a A concise introduction to decentralized POMDPs $h [electronic resource] / $c by Frans A. Oliehoek, Christopher Amato.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xx, 134 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in intelligent systems, artificial intelligence, multiagent systems, and cognitive robotics, $x 2196-548X
505 0 $a Multiagent Systems Under Uncertainty -- The Decentralized POMDP Framework -- Finite-Horizon Dec-POMDPs -- Exact Finite-Horizon Planning Methods -- Approximate and Heuristic Finite-Horizon Planning Methods -- Infinite-Horizon Dec-POMDPs -- Infinite-Horizon Planning Methods: Discounted Cumulative Reward -- Infinite-Horizon Planning Methods: Average Reward -- Further Topics.
520 $a This book introduces multiagent planning under uncertainty as formalized by decentralized partially observable Markov decision processes (Dec-POMDPs) The intended audience is researchers and graduate students working in the fields of artificial intelligence related to sequential decision making: reinforcement learning, decision-theoretic planning for single agents, classical multiagent planning, decentralized control, and operations research.
650 0 $a Decision making $x Data processing. $3 235779
650 0 $a Multiagent systems. $3 484868
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
650 2 4 $a Control, Robotics, Mechatronics. $3 339147
650 2 4 $a Optimization. $3 274084
700 1 $a Amato, Christopher. $3 749694
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in intelligent systems. $p Artificial intelligence, multiagent systems, and cognitive robotics. $3 749695
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-28929-8
950 $a Computer Science (Springer-11645)