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Mastering the game of Go with deep neural networks and tree search

Nature · 2016 · Vol. 529(7587) · pp. 484–489
David SilverAja HuangChris J. MaddisonArthur GuezLaurent SifreGeorge van den DriesscheJulian SchrittwieserIoannis AntonoglouVeda PanneershelvamMarc LanctotSander DielemanDominik GreweJohn NhamNal KalchbrennerIlya SutskeverTimothy LillicrapMadeleine LeachKoray KavukcuogluThore GraepelDemis Hassabis
Artificial Intelligence in GamesSports Analytics and PerformanceEducational Games and GamificationMonte Carlo tree searchComputer scienceChampionArtificial neural networkReinforcement learningArtificial intelligenceGame treeValue (mathematics)Search algorithmTree (set theory)

MeSH terms

Games, RecreationalSupervised Machine LearningComputersEuropeHumansMonte Carlo MethodReinforcement, PsychologySoftwareNeural Networks, Computer
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References
Advances in neural information processing systems 7
Neurocomputing · 1997 · 22,296 citations
Learning to Predict by the Methods of Temporal Differences
Machine Learning · 1988 · 3,908 citations
Reinforcement Learning: An Introduction
IEEE Transactions on Neural Networks · 2005 · 25,702 citations
Face recognition: a convolutional neural-network approach
IEEE Transactions on Neural Networks · 1997 · 3,098 citations
ImageNet classification with deep convolutional neural networks
Communications of the ACM · 2017 · 75,550 citations
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