Petr Baudis wrote:
Hi!
How would you recommend to bias nodes in the tree according to pattern
strengths, when the pattern strength can be in (0,inf)? (I'm using this
for Remi's pattern ELO model, but I guess other fuzzy pattern values face
similar problems.)
I have node values in the form of W / N (wins / visits), the trouble
is that I'm not sure how to scale the value properly (and quickly),
given that most pattern values are around 1, but some are in the 0.001
area while best ones are easily 500 (_and_ this is all in a minimax tree).
How do you (e.g. CrazyStone) solve the issue? Or do you perform
explicit unpruning by sorting the nodes instead of biasing them?
Thanks!
I bias them too. I use move probability, not move gamma, which
normalizes the value between 0 and 1. I multiply this probability by a
constant, divide by the number of playouts, and add it to the move score.
Rémi
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