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.

Sep 10, 2018 ¡¤ 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 ...

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

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

Aug 8, 2019 ¡¤ It requires strong intuition and abstract thinking to play. Hence, it was believed that only humans would be good at playing Go. Only until a ...

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

Sep 27, 2021 ¡¤ Bibliographic details on Mastering the game of Go with deep neural networks and tree search.

Jan 27, 2016 ¡¤ Using this search algorithm, the program AlphaGo achieved a 99.8% winning rate against other Go programs, and defeated the human European Go ...

Feb 6, 2021 ¡¤ AlphaGo was the first in a rapid series of works from DeepMind which year after year broke new boundaries for complex planning tasks.