AlphaGo Teach: Discover new and creative ways of playing Go
Key
- Moves AlphaGo would play
- Moves human players would play
- 46.8AlphaGo's evaluation of the move for black's winrate
- Last move played
How to Use The Tool
Use the coloured circles or the controls to navigate the board, explore different opening sequences, and find out AlphaGo's estimate of black winning for each move played.
The number in each circle is that move's % winrate from black's perspective, based on AlphaGo's predictions. When it is black's move, values closer to 100 are considered better, and when it is white's move, values closer to 0 are considered better. 50 means the game is considered equal.
Understanding Alphago's predicted winrate
AlphaGo’s preferred move does not always have the highest value. This is because each move’s winning probability was computed by running an independent search of 10 million simulations from that position. AlphaGo has some randomness in this search, meaning it might pick different but similar value moves if we run the search again. For more information on how AlphaGo works, read the original paper published in Nature.