國立虎尾科技大學 |

Making Friends on the Fly: Advances in Ad Hoc Teamwork

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Making Friends on the Fly: Advances in Ad Hoc Teamwork/ by Samuel Barrett.
作者:	Barrett, Samuel.
面頁冊數:	XX, 144 p. 26 illus., 19 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	https://doi.org/10.1007/978-3-319-18069-4
ISBN:	9783319180694

Making Friends on the Fly: Advances in Ad Hoc Teamwork
Barrett, Samuel.

Making Friends on the Fly: Advances in Ad Hoc Teamwork[electronic resource] /by Samuel Barrett. - 1st ed. 2015. - XX, 144 p. 26 illus., 19 illus. in color.online resource. - Studies in Computational Intelligence,6031860-949X ;. - Studies in Computational Intelligence,564.

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

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

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Making Friends on the Fly: Advances in Ad Hoc Teamwork
LDR:02463nam a22004095i 4500 001 966545
003 DE-He213
005 20200704033501.0
007 cr nn 008mamaa
008 201211s2015 gw | s |||| 0|eng d
020 $a 9783319180694 $9 978-3-319-18069-4
024 7 $a 10.1007/978-3-319-18069-4 $2 doi
035 $a 978-3-319-18069-4
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 Barrett, Samuel. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1262152
245 1 0 $a Making Friends on the Fly: Advances in Ad Hoc Teamwork $h [electronic resource] / $c by Samuel Barrett.
250 $a 1st ed. 2015.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a XX, 144 p. 26 illus., 19 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 Studies in Computational Intelligence, $x 1860-949X ; $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 Computational intelligence. $3 568984
650 0 $a Game theory. $3 556918
650 0 $a Sociophysics. $3 890761
650 0 $a Econophysics. $3 796705
650 0 $a Robotics. $3 561941
650 0 $a Automation. $3 596698
650 0 $a Artificial intelligence. $3 559380
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Game Theory, Economics, Social and Behav. Sciences. $3 669497
650 2 4 $a Data-driven Science, Modeling and Theory Building. $3 1112983
650 2 4 $a Robotics and Automation. $3 782979
650 2 4 $a Artificial Intelligence. $3 646849
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319180700
776 0 8 $i Printed edition: $z 9783319180687
776 0 8 $i Printed edition: $z 9783319369211
830 0 $a Studies in Computational Intelligence, $x 1860-949X ; $v 564 $3 1253640
856 4 0 $u https://doi.org/10.1007/978-3-319-18069-4
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)