> From my observaion, mc chooses good moves if and only if the winning
> rate is near 50%. Once it gets loosing, it plays bad moves. Surely
> it's an illusion but it helps to prevent them.
If it's more important to avoid being too pessimistic (ie low estimated
winning rates), there are two ways to bias the formulas below:
either you use a bigger lambda when the estmated true winning rate is
less than .5
or you replace .5 by .55 everywhere.
> >new_komi_aya =
> > truncation[(.5 - old_winning_rate) +
> > C * old_komi_aya - lambda / (2 * C)]^{+}
> >
> >if the estimated winning rate with true komi is more than .5, and
> >
> >new_komi_aya =
> > truncation[(.5 - old_winning_rate) +
> > C * old_komi_aya + lambda / (2 * C)]^{-}
> > ^ ^
> >if the estimated winning rate with true komi is less than .5.
Oups ! I forgot to divide by C... The equations here are not even
homogeneous ! It should read:
new_komi_ggmc =
truncation[(.5 - old_winning-rate) / C + old_komi_ggmc - lambda / (2
C^2) ]^{+}
if .5 - old_winning_rate < 0, and
new_komi_ggmc =
truncation[(.5 - old_winning-rate) / C + old_komi_ggmc + lambda / (2
C^2) ]^{-}
if .5 - old_winning_rate > 0.
Don't forget C < 0, so the equations make sense.
Jonas
_______________________________________________
computer-go mailing list
computer-go@computer-go.org
http://www.computer-go.org/mailman/listinfo/computer-go/
