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  • 學位論文

使用KataGo方法及迫著空間搜尋提升AlphaZero在六子棋的訓練成效

Using the KataGo Method and Threat Space Search to Imporve the Training Performance of AlphaZero in Connect6

指導教授 : 林順喜
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參考文獻


D. Silver et al., “Mastering the Game of Go with Deep Neural Networks and Tree Search,” Nature 2016 529:7587, vol. 529, no. 7587, pp. 484–489, Jan. 2016, doi: 10.1038/nature16961.
D. Silver et al., “Mastering the Game of Go without Human Knowledge,” Nature 2017 550:7676, vol. 550, no. 7676, pp. 354–359, Oct. 2017, doi: 10.1038/nature24270.
D. Silver et al., “A General Reinforcement Learning Algorithm that Masters Chess, Shogi, and Go through Self-Play,” Science 2018, vol. 362, no. 6419, pp. 1140–1144, Dec. 2018, doi: 10.1126/SCIENCE.AAR6404/SUPPL_FILE/AAR6404_DATAS1.ZIP.
D. J. Wu, “Accelerating Self-Play Learning in Go,” Feb. 2019, doi: 10.48550/arxiv.1902.10565.
楊子頤,“應用AlphaZero於六子棋”,國立交通大學多媒體工程研究所碩士論文,2020。

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