I guess the current top programs have much better playout policy than
the classical MoGo-style one.
The original policy of MoGo was,
(1) If the last move is an Atari, plays one saving move randomly.
(2) If there are "interesting" moves in the 8 positions around the
last move, plays one randomly.
(3) If there are the moves capturing stones, plays one randomly.
(4) Plays one random move on the board.
I (and maybe many others) use it with some improvements, however it
will be not enough to catch up the top programs.
Crazy Stone uses a probability distribution of patterns from the
Bradeley-Terry Model. greenpeep uses similar patterns extracted from
the offline self-play.
Then I have tested a lot of change of probability distributions, but
it was very hard to improve the strength.
Any comments?
--
Yamato
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