語系:
繁體中文
English
說明(常見問題)
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-語言資料,印刷品 : Monograph/item
正題名/作者:
A concise introduction to decentralized POMDPs/ by 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 making - Data processing. -
電子資源:
http://dx.doi.org/10.1007/978-3-319-28929-8
ISBN:
9783319289298
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
Standard No.: 10.1007/978-3-319-28929-8doiSubjects--Topical Terms:
568242
Decision making
--Data processing.
LC Class. No.: T57.95
Dewey Class. No.: 658.4032
A concise introduction to decentralized POMDPs
LDR
:01922nam a2200337 a 4500
001
864823
003
DE-He213
005
20161117131658.0
006
m d
007
cr nn 008maaau
008
170720s2016 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
1109994
245
1 2
$a
A concise introduction to decentralized POMDPs
$h
[electronic resource] /
$c
by Frans A. Oliehoek, Christopher Amato.
260
$a
Cham :
$c
2016.
$b
Springer International Publishing :
$b
Imprint: Springer,
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
568242
650
0
$a
Multiagent systems.
$3
745736
650
1 4
$a
Computer Science.
$3
593922
650
2 4
$a
Artificial Intelligence (incl. Robotics)
$3
593924
650
2 4
$a
Control, Robotics, Mechatronics.
$3
768396
650
2 4
$a
Optimization.
$3
669174
700
1
$a
Amato, Christopher.
$3
1109995
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer eBooks
830
0
$a
SpringerBriefs in intelligent systems.
$p
Artificial intelligence, multiagent systems, and cognitive robotics.
$3
1109996
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-28929-8
950
$a
Computer Science (Springer-11645)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入