[Computer-go] Should playout patterns be gathered from high-dan games only?

Lars Schäfers slars at upb.de
Thu Jan 17 01:07:21 PST 2013

Hi Alexander,

for the reasons you mentioned I trained my pattern system on games
between weaker and stronger players some years back. That was for 9x9
board size where I used game records from cgos where both players had a
strength of at least 1700 Elo and at least one player was stronger than
2400 Elo. Obviously you should only learn the moves of the players that
are stronger than 2400 ELO here..

I got some significant improvements of it that time, although I can't
provide numbers today. I didn't made comparable experiments for larger
board sizes.

- Lars

On Wed, 2013-01-16 at 15:53 +0000, Alexander Kozlovsky wrote:
> Hi everybody!
> Is it enough to use big number of hign-dan games
> to build a strong pattern library for random playouts?
> I have suspiction the most useful patterns may be
> gathered from low-dan games. The reasoning is:
> 1. Random playouts contains big amount of silly moves
> 2. Hign-dans don't do silly moves, so patterns gathered from
> hign-dans games does not contains refutations of such moves
> 3. Most low-dan moves are better then random playout moves
> anyway, so patterns gathered from low-dan games are
> "good enough" for playouts and may contain refutations
> of many low-dan mistakes
> In professional game it is assumed "if opponent make this
> suboptimal attack it can be countered with such and such
> moves", but this sequence newer happens in the game itself,
> so probably good pattern library must be gathered from
> games with wide spectrum of player strenghs
> _______________________________________________
> Computer-go mailing list
> Computer-go at dvandva.org
> http://dvandva.org/cgi-bin/mailman/listinfo/computer-go

Lars Schaefers
Computer Engineering Group of Prof. Dr. Marco Platzner
Paderborn Center for Parallel Computing, University of Paderborn
Pohlweg 47-49, 33098 Paderborn, Germany
Tel: +49 (0)5251 60 4341, Fax: +49 (0)5251 60 5377
Office: Building O 3.119

More information about the Computer-go mailing list