[Computer-go] Measuring program strength
ds2 at physik.de
Sun Sep 1 02:18:57 PDT 2013
thanks for the detailed reply. I have simelar experience, but I will
recheck your numbers with oakfoam. They were against gnugo level 10?
If I have to use much higher number of playouts (around 10000) I have
about 2 sec/move. This makes optimizing using CLOP slow of cause.
As I do not like using self play, I think of running 7 instances on KGS
with 10000 playouts per move for CLOP. This should lead to even more
games per hour, as the humens are doing the opponent move and not using
my CPU time:)
Am Samstag, den 31.08.2013, 15:53 +0900 schrieb Hiroshi Yamashita:
> I think 700 playouts is maybe small.
> When I got 60% against GNU Go with 10000 playouts, I could get 50%
> with 5000 playouts. Now I get 60% with 400 playouts, but I need 350
> playouts for 50%. So I have switched to selfplay, it is a bit
> doubtful though.
> I think tree selective ability is more important than playout quality
> in small playouts like 700.
> Hiroshi Yamashita
> ----- Original Message -----
> From: "Detlef Schmicker" <ds2 at physik.de>
> To: <computer-go at dvandva.org>
> Sent: Friday, August 30, 2013 6:41 PM
> Subject: [Computer-go] Measuring program strength
> > Hi,
> > I will try to fish for some secrets:)
> > Up to now I always was able to measure oakfoam improvenment by playing
> > against gnugo.
> > (700 playouts against gnugo level 10 and 300 playouts against gnugo
> > level 0)
> > But now we seem to be at a strenght, that makes this not very sensitive
> > anymore. I can change parameters,which have significant effects on
> > regression tests, but do not change playing strength against gnugo
> > anymore. I included fuego and pachi at a playing level playing 50%
> > against gnugo, but this only improved the sensibility a little.
> > How do you handle this problem?
> > What do you think is the reason?
> > Thanks a lot for any secrets:)
> > Detlef
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