Learning in Large Cooperative Multi-Robot Domains

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dc.contributor.author Fernández, Fernando
dc.contributor.author Parker, Lynne E.
dc.date.accessioned 2012-02-08T08:23:26Z
dc.date.available 2012-02-08T08:23:26Z
dc.date.issued 2001
dc.identifier.bibliographicCitation International Journal of Robotics and Automation, special issue on Computational Intelligence Techniques in Cooperative Robots, 2001, vol. 16, n. 4, pp. 217-226
dc.identifier.issn 0826-8185
dc.identifier.uri http://hdl.handle.net/10016/13273
dc.description.abstract The development of mechanisms that enable robot teams to autonomously generate cooperative behaviours is one of the most interesting issues in dis- tributed and autonomous robotic systems. In this paper, the application of reinforcement learning techniques to robot teams is studied, enabling the robot to learn cooperative behaviours based only on local information.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Acta Press
dc.rights © Acta Press
dc.subject.other Multi-robot system
dc.subject.other Cooperative robotics
dc.title Learning in Large Cooperative Multi-Robot Domains
dc.type article
dc.type.review PeerReviewed
dc.description.status Publicado
dc.subject.eciencia Informática
dc.rights.accessRights openAccess
dc.type.version draft
dc.identifier.publicationfirstpage 217
dc.identifier.publicationissue 4
dc.identifier.publicationlastpage 226
dc.identifier.publicationtitle International Journal of Robotics and Automation, special issue on Computational Intelligence Techniques in Cooperative Robots
dc.identifier.publicationvolume 16
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