PDF] ELF OpenGo: An Analysis and Open Reimplementation of AlphaZero
Por um escritor misterioso
Descrição
ELF OpenGo is the first open-source Go AI to convincingly demonstrate superhuman performance with a perfect (20:0) record against global top professionals and is proposed, anopen-source reimplementation of the AlphaZero algorithm. 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 with a perfect (20:0) record against global top professionals. We apply ELF OpenGo to conduct extensive ablation studies, and to identify and analyze numerous interesting phenomena in both the model training and in the gameplay inference procedures. Our code, models, selfplay datasets, and auxiliary data are publicly available.
ELF OpenGo: An Analysis and Open Reimplementation of AlphaZero
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Multiplayer AlphaZero – arXiv Vanity
Spatial state-action features for general games - ScienceDirect
PDF] ELF OpenGo: An Analysis and Open Reimplementation of AlphaZero
PDF] ELF OpenGo: An Analysis and Open Reimplementation of AlphaZero
Accelerating Self-Play Learning in Go – arXiv Vanity
PDF] Mobile Networks for Computer Go
PDF] Improving Model and Search for Computer Go
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