Hi Nikos, This is really interesting but unfortunately not particularly useful for me personally on two accounts. First, I do not run Windows, and second, I can't look at the source code :)
It would have been great if you joined the GNUbg team and helped GNUbg play those variants. -Joseph On 29 June 2011 23:42, Nikos Papahristou <[email protected]> wrote: > I have trained neural networks for the Greek backgammon variants plakoto and > fevga. It seems like neural networks can capture much of the complexity of > these variants even with few expert features. > You can download a program that plays these variants from my webpage: > http://csse.uom.gr/~nikpapa/software.html > For now, there is no help, but if you are familiar with gnubg and the rules > of the games, you shouldn't have any problems :) > > You can also see the paper describing the training process in the > publications section. > > Cheers, > Nikos Papahristou > > On 28/6/2011 23:17, Joseph Heled wrote: >> >> A far more interesting and difficult task would be to go for one of >> the other variants In my family they used to play machboosa >> (surrounded), which is the same as the Greek Plakoto, which I find >> strategically orders of magnitude harder. I can hardly tell if I make >> sensible moves or not, as this is a game where you have to slow >> yourself down usually not just a race to the line that is backgammon. >> I even have doubts that a neural net can capture this complexity, >> since most consequences are far ahead in the future - it is like >> playing a backgame all the time, and we know how poor computer players >> are at that, GNUBG especially. >> >> -Joseph > > > _______________________________________________ > Bug-gnubg mailing list > [email protected] > https://lists.gnu.org/mailman/listinfo/bug-gnubg > _______________________________________________ Bug-gnubg mailing list [email protected] https://lists.gnu.org/mailman/listinfo/bug-gnubg
