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https://dspace.ncfu.ru/handle/20.500.12258/3066| 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 |
| URI: | https://www.scopus.com/record/display.uri?eid=2-s2.0-85019836754&origin=resultslist&sort=plf-f&src=s&nlo=&nlr=&nls=&sid=44d90154573ea1cc971b53e97e0ea554&sot=aff&sdt=sisr&sl=174&s=AF-ID%28%22North+Caucasus+Federal+University%22+60070541%29+OR+AF-ID%28%22Stavropol+State+University%22+60070961%29+OR+AF-ID%28%22stavropolskij+Gosudarstvennyj+Tehniceskij+Universitet%22+60026323%29&ref=%28Lessons+learned+from+AlphaGo%29&relpos=0&citeCnt=0&searchTerm= http://hdl.handle.net/20.500.12258/3066 |
| Appears in Collections: | Статьи, проиндексированные в SCOPUS, WOS |
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| scopusresults 353 .pdf Restricted Access | 62.25 kB | Adobe PDF | View/Open |
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