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.

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

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

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 master

Mar 7, 2021 ¡¤ AlphaGo - Mastering the game of Go with deep neural networks and tree search | RL Paper ...
Duration: 51:24
Posted: Mar 7, 2021

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 ...

Dec 28, 2016 ¡¤ We built a system, AlphaGo, that combines an advanced tree search with deep neural networks. These neural networks take a description of the Go board as an ...

Jul 6, 2019 ¡¤ This article provides a summary of the AlphaGo paper presented by the DeepMind's team (David Silver et al.) in 2016.