I for one would be surprised if that would make an improvement. Remember the nets are trained for money play, no cube. Perhaps play can improve if nets are trained for a particular score where the cube is relevant.
-Joseph On Sat, Feb 7, 2009 at 7:36 PM, bob koca <bob_k...@hotmail.com> wrote: > > Has it been suggested to have a separately trained evaluation engine for > DMP (1away 1 away score or equivalent), GS (1 away, 2away Crawford > or equivalent score) and GG (2 away 1 away Crawford or equivalent score)? > The current engine could be used as a starting point. > > Bob Koca > >> >> Message: 7 >> Date: Fri, 6 Feb 2009 15:01:20 +0100 >> From: ?ystein Johansen (OJOHANS) <ojoh...@statoilhydro.com> > >> >> Frankly, the strength of the evaluation engine, which is (mostly) >> based on neural networks, has become so strong that it is really hard >> for us to improve it further. Joseph, who train the current neural >> networks, did a fantastic job, and fundamental changes to the neural >> networks must be done to improve the strength of it game. >> >> (I don't think anyone in the development team have been working >> on the neural networks lately?) >> >> -Øystein >> >> > > ________________________________ > Windows Live™: E-mail. Chat. Share. Get more ways to connect. See how it > works. > _______________________________________________ > Bug-gnubg mailing list > Bug-gnubg@gnu.org > http://lists.gnu.org/mailman/listinfo/bug-gnubg > > _______________________________________________ Bug-gnubg mailing list Bug-gnubg@gnu.org http://lists.gnu.org/mailman/listinfo/bug-gnubg
