Mastering the game of Go without human knowledge
Abstract
A long-standing goal of artificial intelligence is an algorithm that learns, tabula rasa, superhuman proficiency in challenging domains. Recently, AlphaGo became the first program to defeat a world champion in the game of Go. The tree search in AlphaGo evaluated positions and selected moves using deep neural networks. These neural networks were trained by supervised learning from human expert moves, and by reinforcement learning from self-play....
Paper Details
Title
Mastering the game of Go without human knowledge
Published Date
Oct 1, 2017
Journal
Volume
550
Issue
7676
Pages
354 - 359
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