These deep neural networks are trained by a novel combination of supervised learning from human expert games, and reinforcement learning from games of self-play ...

Here we introduce a new approach to computer Go that uses 'value networks' to evaluate board positions and 'policy networks' to select moves.

Jan 27, 2016 ¡¤ Nature: Mastering the game of Go with deep neural networks and tree search. YouTube by nature: The computer that mastered Go. Google Blog: ...

Jan 27, 2016 ¡¤ Here we introduce a new approach to computer Go that uses 'value networks' to evaluate board positions and 'policy networks' to select moves.

Aug 8, 2019 ¡¤ Go is a board game which is very popular in large parts of Asia. It was invented around 2,500 years ago in ancient China and some players ...

Technically-oriented PDF Collection (Papers, Specs, Decks, Manuals, etc) - pdfs/Mastering the Game of Go with Deep Neural Networks and Tree Search.pdf at ...

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 ...

The tree search in AlphaGo evaluated posi- tions and selected moves using deep neural networks. These neural networks were trained by supervised learning from ...

Jan 27, 2016 ¡¤ This work attempts to mimic human intuition in the game of Go by creating a convolutional neural policy network which, without any sort of tree search, should ...

Mastering the game of Go with deep neural networks and tree search - Free download as PDF File (.pdf), Text File (.txt) or read online for free.