AlphaGo likes Hane

DeepMind published three new videos with Ke Jie’s games reviewed by AlphaGo itself!



Since I was wondering which moves were discussed most frequently, I counted select words in the subtitles1.

Even though AlphaGo itself can’t talk, its thoughts were voiced by two very capable humans. So the number of times certain terms were uttered correlates approximately with how often AlphaGo considers those moves.

Of course, the sample is small and further research is necessary to yield more accurate results, but we can draw a preliminary conclusion: AlphaGo likes hane.

Item Game 1 Game 2 Game 3 Total
hane 38 31 22 91
jump 28 36 25 89
extend/extension 61 15 10 86
keima 22 35 22 79
attach/-ment 24 32 14 70
invade/invasion 38 22 10 70
take* 26 33 11 70*
peep 36 28 5 69
cut 24 29 11 64
atari 13 44 4 61
push* 20 25 13 58*
nobi 21 23 7 51
3-3 22 12 12 46
block 18 11 14 43
pincer 22 12 0 34
descend 7 7 6 20
bump 3 1 14 18
kosumi 2 14 2 18
tiger/-mouth 3 12 3 18
ladder 9 1 0 10
retreat* 5 0 4 9*

*inflated due to usage in regular language.
(English verbs include all tenses and conjugations.)

From now on, I’m going to consider hane more often in my games, until new research brings a different conclusion.

It seems that AlphaGo also slightly prefers White over Black.

Colour Game 1 Game 2 Game 3 Total
White 141 78 34 253
Black 97 78 52 227

1Translated by yours truly.

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