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Making friends on the fly[electronic...

Barrett, Samuel.

Making friends on the fly[electronic resource] :advances in ad hoc teamwork /

レコード種別:	コンピュータ・メディア : 単行資料
[NT 15000414] null:	004.6
タイトル / 著者:	Making friends on the fly : advances in ad hoc teamwork // by Samuel Barrett.
著者:	Barrett, Samuel.
出版された:	Cham : : Springer International Publishing :, 2015.
記述:	xx, 144 p. : : ill. (some col.), digital ;; 24 cm.
主題:
国際標準図書番号 (ISBN) :	9783319180694 (electronic bk.)
国際標準図書番号 (ISBN) :	9783319180687 (paper)
[NT 15000228] null:	Introduction -- Problem Description -- Background -- Related Work -- The PLASTIC Algorithms -- Theoretical Analysis of PLASTIC -- Empirical Evaluation -- Discussion and Conclusion.
[NT 15000229] null:	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.#

Making friends on the fly[electronic resource] :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 ;.

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:

353965

LC Class. No.: TK5105.77

Dewey Class. No.: 004.6

Making friends on the fly[electronic resource] :advances in ad hoc teamwork /
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245 1 0 $a Making friends on the fly $h [electronic resource] : $b advances in ad hoc teamwork / $c by Samuel Barrett.
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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.#
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