| >I wonder if AlphaGo has some specialized knowledge to handle ladders Yes. A representation of ladders is among the input features of its neural networks. https://gogameguru.com/i/2016/03/deepmind-mastering-go.pdf Stone colour 3 Player stone / opponent stone / empty Ones 1 A constant plane filled with 1 Turns since 8 How many turns since a move was played Liberties 8 Number of liberties (empty adjacent points) Capture size 8 How many opponent stones would be captured Self-atari size 8 How many of own stones would be captured Liberties after move 8 Number of liberties after this move is played Ladder capture 1 Whether a move at this point is a successful ladder capture Ladder escape 1 Whether a move at this point is a successful ladder escape Sensibleness 1 Whether a move is legal and does not fill its own eyes Zeros 1 A constant plane filled with 0 Player color 1 Whether current player is black (The number is how many 19x19 planes the feature consists of.) |