Move Evaluation in Go Using Deep Convolutional Neural Networks

20 Dec 2014Chris J. MaddisonAja HuangIlya SutskeverDavid Silver

The game of Go is more challenging than other board games, due to the difficulty of constructing a position or move evaluation function. In this paper we investigate whether deep convolutional networks can be used to directly represent and learn this knowledge... (read more)

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