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The game of Go has long been viewed as the most challenging of classic games for artificial intelligence owing to its enormous search space and the difficulty of
The game of Go has long been viewed as the most challenging of classic games for ar- tificial intelligence due to its enormous search space and the difficulty of

Mastering the game of Go with deep neural networks and tree search. Nature, Jan, 2016. Page 2. Roadmap. • Deep Learning. • Search problem. • How to
27 May 2016 The strongest previous Go programs were all based on Monte Carlo Tree Search. (MCTS). • Crazy Stone – 2006. • Mogo – 2007. • Fuego –
20 Apr 2016 AlphaGo: Mastering the Game of Go with Deep Neural Networks and Tree Search. Presented paper by David Silver, Aja Huang, Demis
1. Google DeepMind. 2. Google,). (*These authors contributed equally to this work). Mastering the game of Go with deep neural networks and tree search
to defeat a world champion in the game of Go. The tree search in AlphaGo evaluated posi- tions and selected moves using deep neural networks. These neural

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