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ELF OpenGo: An Analysis and Open Reimplementation of AlphaZero. (arXiv:1902.04522v5 [cs.AI] UPDATED)
June 6, 2022, 1:11 a.m. | Yuandong Tian, Jerry Ma, Qucheng Gong, Shubho Sengupta, Zhuoyuan Chen, James Pinkerton, C. Lawrence Zitnick
stat.ML updates on arXiv.org arxiv.org
The AlphaGo, AlphaGo Zero, and AlphaZero series of algorithms are remarkable
demonstrations of deep reinforcement learning's capabilities, achieving
superhuman performance in the complex game of Go with progressively increasing
autonomy. However, many obstacles remain in the understanding of and usability
of these promising approaches by the research community. Toward elucidating
unresolved mysteries and facilitating future research, we propose ELF OpenGo,
an open-source reimplementation of the AlphaZero algorithm. ELF OpenGo is the
first open-source Go AI to convincingly demonstrate superhuman performance …
More from arxiv.org / stat.ML updates on arXiv.org
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