AlphaGo is said to predict 57% of professionals' moves. How is this
number measured and from which sample?
At some turns, there is only one correct move - at other turns, strong
go players would say that there are several valid supposedly correct
moves. This is one of the reasons why 100% cannot be the optimum but a
smaller percentage must be the best.
Pro players, or players of the database sample (incl. real world 3d
players being 9d on KGS), make mistakes. A neural net learns from a
sample and therefore also learns the mistakes. This is the most
important reason why 100% cannot be the optimum but a smaller percentage
must be the best.
(Roughly) which percentage is optimal? Why? Is the optimum greater or
smaller than 57%?
--
robert jasiek
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