Oh, ok. I was a bit surprised. Last time I checked my program scaled
quite nicely against GnuGo, at least for low numbers of simulations up
to about 97% winning rate. I suppose there could be some kind of
plateau when nearing 100% due to some missing knowledge/skills that
only GnuGo has.

Erik


2010/1/16  <dhillism...@netscape.net>:
> Well, I thought "there seems to be a picture emerging" was sufficiently
> hedged that it would be construed as a conjecture, not a conclusion. :)
> I am thinking, in particular, of the scalability studies with Zen that
> Hideki reported to this list in Oct. 2009.
>> BTW, recently I've measured the strength (win rate) vs time for a move
>> curves with Zen vs GNU Go and Zen vs Zen (self-play) on 19 x 19 board.
>> Without opening book, it saturates between +400 and +500 Elo against
>> GNU but doesn't upto +800 Elo in self-play.  That's somewhat
>> interesting (detail will be open soon at GPW-2009).
>> Hideki
>  There was a bit more information provided in a sequence of posts to this
> list during that month. I wonder if the paper is out now.
> - Dave Hillis
>
> -----Original Message-----
> From: Erik van der Werf <erikvanderw...@gmail.com>
> To: computer-go <computer-go@computer-go.org>
> Sent: Sat, Jan 16, 2010 12:55 pm
> Subject: Re: [computer-go] scalability analysis with pachi
>
> 2010/1/15 <dhillism...@netscape.net>
>>
>> Thank you for posting these interesting results There seems to be
>> a picture emerging that MCTS engines scale very well in self play, and
>> apparently against other MCTS engines, but not so well against the non-MCTS
>> version of Gnugo.
>> - Dave Hillis
>
>
> Do you have any data to back that conclusion?
>
> Erik
>
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