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A learning algorithm based on $λ$-policy iteration and its application to the video game “tetris attack”

dc.contributor.authorThanh, Le Hoang
dc.contributor.editorMayr, Heinrich C.
dc.contributor.editorPinzger, Martin
dc.date.accessioned2017-06-21T11:28:47Z
dc.date.available2017-06-21T11:28:47Z
dc.date.issued2016
dc.identifier.isbn978-3-88579-653-4
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofInformatik 2016
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-259
dc.titleA learning algorithm based on $λ$-policy iteration and its application to the video game “tetris attack”en
dc.typeText/Conference Paper
gi.citation.endPage2162
gi.citation.publisherPlaceBonn
gi.citation.startPage2157
gi.conference.date26.-30. September 2016
gi.conference.locationKlagenfurt

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