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Page 1
Mastering the game of Go without human knowledge.
Nature. 2017 Oct 18;550(7676):354-359. doi: 10.1038/nature24270.
Nature. 2017.
PMID: 29052630
Human-level control through deep reinforcement learning.
Mnih V, Kavukcuoglu K, Silver D, Rusu AA, Veness J, Bellemare MG, Graves A, Riedmiller M, Fidjeland AK, Ostrovski G, Petersen S, Beattie C, Sadik A, Antonoglou I, King H, Kumaran D, Wierstra D, Legg S, Hassabis D.
Mnih V, et al. Among authors: antonoglou i.
Nature. 2015 Feb 26;518(7540):529-33. doi: 10.1038/nature14236.
Nature. 2015.
PMID: 25719670
Item in Clipboard
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play.
Silver D, Hubert T, Schrittwieser J, Antonoglou I, Lai M, Guez A, Lanctot M, Sifre L, Kumaran D, Graepel T, Lillicrap T, Simonyan K, Hassabis D.
Silver D, et al. Among authors: antonoglou i.
Science. 2018 Dec 7;362(6419):1140-1144. doi: 10.1126/science.aar6404.
Science. 2018.
PMID: 30523106
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Mastering Atari, Go, chess and shogi by planning with a learned model.
Schrittwieser J, Antonoglou I, Hubert T, Simonyan K, Sifre L, Schmitt S, Guez A, Lockhart E, Hassabis D, Graepel T, Lillicrap T, Silver D.
Schrittwieser J, et al. Among authors: antonoglou i.
Nature. 2020 Dec;588(7839):604-609. doi: 10.1038/s41586-020-03051-4. Epub 2020 Dec 23.
Nature. 2020.
PMID: 33361790
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Mastering the game of Go with deep neural networks and tree search.
Silver D, Huang A, Maddison CJ, Guez A, Sifre L, van den Driessche G, Schrittwieser J, Antonoglou I, Panneershelvam V, Lanctot M, Dieleman S, Grewe D, Nham J, Kalchbrenner N, Sutskever I, Lillicrap T, Leach M, Kavukcuoglu K, Graepel T, Hassabis D.
Silver D, et al. Among authors: antonoglou i.
Nature. 2016 Jan 28;529(7587):484-9. doi: 10.1038/nature16961.
Nature. 2016.
PMID: 26819042
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