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Hex 2018: MoHex3HNN over DeepEzo
ICGA Journal ( IF 0.4 ) Pub Date : 2019-06-14 , DOI: 10.3233/icg-190094 Chao Gao 1 , Kei Takada 1 , Ryan Hayward 1
ICGA Journal ( IF 0.4 ) Pub Date : 2019-06-14 , DOI: 10.3233/icg-190094 Chao Gao 1 , Kei Takada 1 , Ryan Hayward 1
Affiliation
There were two Hex tournaments at the 2018 Computer Olympiad in New Taipei City: 11×11 — proposed by Piet Hein in 1942 — and 13×13. Visa problems unfortunately prevented Chinese teams from competing, leaving two contestants for each tourament: DEEPEZO from Japan, by Kei Takada, supervised by Masahito Yamamoto; and MOHEX-3HNN from Canada, by Chao Gao, supervised by Ryan Hayward and Martin Müller and assisted by Jakub Pawlewicz, Ashley Herman, Joseph Meleshko, Jiahao Li, Paul Banse, Siqi Yan, Wai Yi Low and Xutong Zhao. Gao and Pawlewicz developed a self-play game procedure, used to select opening moves. MOHEX-3HNN is an AlphaGo-style neural net program that shares code with MoHex2.0 by Broderick Arneson, Philip Henderson, Aja Huang, Jakub Pawlewicz, Noah Weninger, Kenny Young and Ryan Hayward [6]. MoHex versions have won the previ-
更新日期：2019-06-14
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