Hi.
Is there any theoretical reasons for the Mogo Opening being built out of
self play, rather than by spending time increasing the number of simulations
at the root, and after a time, keeping what seems to be the best ?
Obviously one could object that increasing the number of simulations
would lead to out of memory. But then it seems that there are ways
of killing the less explored branches. Another thing also, is that
it may be far easier to get a massive parallel processing of self play.
So i really wondered what would be best, both for time efficiency,
and strength : spending a lot of computer power refining the tree,
or using self play from a position, to assess its value ?
What was the reason behind the choice of the Mogo team ?
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