A van Kessel wrote:
decades it has been understood that a chess program with a better
evaluation function improves MORE with increasing depth than one with a
lesser evaluation function so it appears that Go is not unique in this
Well, isn't that trivial?
suppose, you have a "perfect" evaluation function, but you
add a random value to each of it's evaluation values.
Once your S/N value reaches 1/1, adding more probes/playouts will
not yield a better signal. So you reach a "soft horizon": you got
stuck in the fog.
I don't understand how what you describe relates at all to the study.
--
GCP
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