Mastering the Game of Sungka from Random Play

17 May 2019 Darwin Bautista Raimarc Dionido

Recent work in reinforcement learning demonstrated that learning solely through self-play is not only possible, but could also result in novel strategies that humans never would have thought of. However, optimization methods cast as a game between two players require careful tuning to prevent suboptimal results... (read more)

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