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Title: Lessons learned from AlphaGo
Authors: Holldobler, S.
Keywords: Board games;Human players;State of the art
Issue Date: 2017
Publisher: CEUR-WS
Citation: Hölldobler, S., Möhle, S., Tigunova, A. Lessons learned from AlphaGo // CEUR Workshop Proceedings. - 2017. - Volume 1837. - Pages 92-101
Series/Report no.: CEUR Workshop Proceedings
Abstract: The game of Go is known to be one of the most complicated board games. Competing in Go against a professional human player has been a long-standing challenge for AI. In this paper we shed light on the AlphaGo program that could beat a Go world champion, which was previously considered non-achievable for the state of the art AI
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

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