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

Nature64.80
Volume: 529, Issue: 7587, Pages: 484 - 489
Published: Jan 28, 2016
Abstract
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 evaluating board positions and moves. Here we introduce a new approach to computer Go that uses ‘value networks’ to evaluate board positions and ‘policy networks’ to select moves. These deep neural networks are trained by a novel combination of supervised learning from human expert...
Paper Details
Title
Mastering the game of Go with deep neural networks and tree search
Published Date
Jan 28, 2016
Journal
Volume
529
Issue
7587
Pages
484 - 489
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