Hello all,

CrazyStone is a fine (commercial) go program.
It has a nice analysis mode, where for a position
%-values for the top 20 or so moves are shown,
including the numbers of playouts for these moves.

When analysing the games from the codecentric Challenge
very often the top move got more than 90 % of the
playouts. Such a distribution may make sense for
a playing program. However, for ANALYSIS mode it would
be better when SEVERAL candidate moves got many playouts.

QUESTION: Who has ideas how such a k-best mode for
MCTS might best be organized?  (Here k is the number
of candidates who get large numbers of playouts - and thus
"precise" evaluations.)

Ingo.

PS. In computer chess such k-best modes are THE tool
for analysis (in GM practice, in correspondence chess ...)
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