東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Making friends on the fly = advances...

Barrett, Samuel.

FindBook

Google Book

Amazon

博客來

Making friends on the fly = advances in ad hoc teamwork /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Making friends on the fly/ by Samuel Barrett.
其他題名:	advances in ad hoc teamwork /
作者:	Barrett, Samuel.
出版者:	Cham :Springer International Publishing : : 2015.,
面頁冊數:	xx, 144 p. :ill. (some col.), digital ;24 cm.
內容註:	Introduction -- Problem Description -- Background -- Related Work -- The PLASTIC Algorithms -- Theoretical Analysis of PLASTIC -- Empirical Evaluation -- Discussion and Conclusion.
Contained By:	Springer eBooks
標題:	Ad hoc networks (Computer networks) -
電子資源:	http://dx.doi.org/10.1007/978-3-319-18069-4
ISBN:	9783319180694 (electronic bk.)

Making friends on the fly = advances in ad hoc teamwork /
Barrett, Samuel.

Making friends on the flyadvances in ad hoc teamwork /[electronic resource] :by Samuel Barrett. - Cham :Springer International Publishing :2015. - xx, 144 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.6031860-949X ;. - Studies in computational intelligence ;v.379..

Introduction -- Problem Description -- Background -- Related Work -- The PLASTIC Algorithms -- Theoretical Analysis of PLASTIC -- Empirical Evaluation -- Discussion and Conclusion.

This book is devoted to the encounter and interaction of agents such as robots with other agents and describes how they cooperate with their previously unknown teammates, forming an Ad Hoc team. It presents a new algorithm, PLASTIC, that allows agents to quickly adapt to new teammates by reusing knowledge learned from previous teammates. PLASTIC is instantiated in both a model-based approach, PLASTIC-Model, and a policy-based approach, PLASTIC-Policy. In addition to reusing knowledge learned from previous teammates, PLASTIC also allows users to provide expert-knowledge and can use transfer learning (such as the new TwoStageTransfer algorithm) to quickly create models of new teammates when it has some information about its new teammates. The effectiveness of the algorithm is demonstrated on three domains, ranging from multi-armed bandits to simulated robot soccer games.

ISBN: 9783319180694 (electronic bk.)

Standard No.: 10.1007/978-3-319-18069-4doiSubjects--Topical Terms:

922461
Ad hoc networks (Computer networks)

LC Class. No.: TK5105.77

Dewey Class. No.: 004.6

Making friends on the fly = advances in ad hoc teamwork /
LDR:02071nmm a2200325 a 4500 001 2006386
003 DE-He213
005 20151229094116.0
006 m d
007 cr nn 008maaau
008 160114s2015 gw s 0 eng d
020 $a 9783319180694 (electronic bk.)
020 $a 9783319180687 (paper)
024 7 $a 10.1007/978-3-319-18069-4 $2 doi
035 $a 978-3-319-18069-4
040 $a GP $c GP
041 0 $a eng
050 4 $a TK5105.77
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 004.6 $2 23
090 $a TK5105.77 $b .B274 2015
100 1 $a Barrett, Samuel. $3 2153286
245 1 0 $a Making friends on the fly $h [electronic resource] : $b advances in ad hoc teamwork / $c by Samuel Barrett.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xx, 144 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.603
505 0 $a Introduction -- Problem Description -- Background -- Related Work -- The PLASTIC Algorithms -- Theoretical Analysis of PLASTIC -- Empirical Evaluation -- Discussion and Conclusion.
520 $a This book is devoted to the encounter and interaction of agents such as robots with other agents and describes how they cooperate with their previously unknown teammates, forming an Ad Hoc team. It presents a new algorithm, PLASTIC, that allows agents to quickly adapt to new teammates by reusing knowledge learned from previous teammates. PLASTIC is instantiated in both a model-based approach, PLASTIC-Model, and a policy-based approach, PLASTIC-Policy. In addition to reusing knowledge learned from previous teammates, PLASTIC also allows users to provide expert-knowledge and can use transfer learning (such as the new TwoStageTransfer algorithm) to quickly create models of new teammates when it has some information about its new teammates. The effectiveness of the algorithm is demonstrated on three domains, ranging from multi-armed bandits to simulated robot soccer games.
650 0 $a Ad hoc networks (Computer networks) $3 922461
650 0 $a Multiagent systems. $3 1048048
650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Game Theory, Economics, Social and Behav. Sciences. $3 891103
650 2 4 $a Socio- and Econophysics, Population and Evolutionary Models. $3 1245758
650 2 4 $a Robotics and Automation. $3 1066695
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Studies in computational intelligence ; $v v.379. $3 1565969
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-18069-4
950 $a Engineering (Springer-11647)