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Concurrent Individu...
Concurrent Individual And Social Learning In Robot Teams
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- Ng, Larry (författare)
- Institute for Aerospace Studies, University of Toronto, Canada
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- Emami, Reza (författare)
- Luleå tekniska universitet,Rymdteknik,Institute for Aerospace Studies, University of Toronto, Canada
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(creator_code:org_t)
- 2015-03-09
- 2016
- Engelska.
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Ingår i: Computational intelligence. - : Wiley. - 0824-7935 .- 1467-8640. ; 32:3, s. 420-438
- Relaterad länk:
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https://urn.kb.se/re...
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visa fler...
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https://doi.org/10.1...
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visa färre...
Abstract
Ämnesord
Stäng
- This article discusses effective mechanisms that enable a group of robots to autonomously generate, adapt, and enhance team behaviors while improving their individual performance simultaneously. Two promising team learning concepts, namely, cooperative learning and advice-sharing, are integrated to provide a platform that encompasses a comprehensive approach to team-performance enhancement. These methods were examined in relation to the performance characteristics of standard single-robot Q-learning to ascertain whether they retain viable learning characteristics despite the integration of individual learning into team behaviors
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Annan elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Other Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Nyckelord
- Onboard Space Systems
- Rymdtekniska system
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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