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dc.contributor.authorFjerdingen, Sigurd Aksnes
dc.contributor.authorKyrkjebø, Erik
dc.contributor.authorTranseth, Aksel Andreas
dc.date.accessioned2017-02-13T09:46:08Z
dc.date.available2017-02-13T09:46:08Z
dc.date.created2012-03-30T11:40:48Z
dc.date.issued2010
dc.identifier.citationProceedings for the joint conference of ISR 2010, 41st International Symposium on Robotics, ROBOTIK 2010, 6th German Conference on Roboticsnb_NO
dc.identifier.isbn9783800732739
dc.identifier.urihttp://hdl.handle.net/11250/2430393
dc.language.isoengnb_NO
dc.relation.ispartofProceedings for the joint conference of ISR 2010, 41st International Symposium on Robotics, ROBOTIK 2010, 6th German Conference on Robotics
dc.titleAUV Pipeline Following using Reinforcement Learningnb_NO
dc.typeChapternb_NO
dc.source.pagenumber310-317nb_NO
dc.identifier.cristin918391
cristin.unitcode7401,90,23,0
cristin.unitnameAnvendt kybernetikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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