Dec 5, 2016 ¡¤ ... , Lanctot M, Dieleman S. Mastering the game of Go with deep neural networks and tree ...
Duration: 5:36
Posted: Dec 5, 2016

Sep 20, 2016 ¡¤ We introduce a new approach to computer Go that uses value networks to evaluate board positions and policy networks to select moves.

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

Jan 6, 2023 ¡¤ Journal Club_20220602 Silver, David@Google DeepMind, et al. "Mastering the game of Go ...
Duration: 1:05:07
Posted: Jan 6, 2023

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.

Jul 31, 2021 ¡¤ The first stage is supervised learning - which is a CNN with ReLU activation, 13 layers and trained on 30 million positions from the KGS Go ...

Using this search algorithm, the computer program AlphaGo developed by Google DeepMind achieved a 99.8 % winning rate against other Go programs. Theorem 1. The ...

Jul 13, 2019 ¡¤ 1. David Silver et al., Mastering the game of Go with deep neural networks and tree search. Nature, 529, 484-489 (2016).

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 ...

Mastering the game of Go with deep neural networks and tree search ¡¤ Temporal Difference Learning of Position Evaluation in the Game of Go ¡¤ TD-Gammon, a Self- ...