I'm curious, does anybody have any interest in programs for 23x23 (or larger) Go boards?
BR, Sighris On Fri, Feb 23, 2018 at 8:58 AM, Erik van der Werf <erikvanderw...@gmail.com > wrote: > In the old days I trained separate move predictors on 9x9 games and on > 19x19 games. In my case, the ones trained on 19x19 games beat the ones > trained on 9x9 games also on the 9x9 board. Perhaps it was just because of > was having better data from 19x19, but I thought it was interesting to see > that the 19x19 predictor generalized well to smaller boards. > > I suppose the result you see can easily be explained; the big board policy > learns about large scale and small scale fights, while the small board > policy doesn't know anything about large scale fights. > > BR, > Erik > > > On Fri, Feb 23, 2018 at 5:11 PM, Hiroshi Yamashita <y...@bd.mbn.or.jp> > wrote: > >> Hi, >> >> Using 19x19 policy on 9x9 and 13x13 is effective. >> But opposite is? >> I made 9x9 policy from Aya's 10k playout/move selfplay. >> >> Using 9x9 policy on 13x13 and 19x19 >> 19x19 DCNNAyaF128from9x9 1799 >> 13x13 DCNNAyaF128from9x9 1900 >> 9x9 DCNN_AyaF128a558x1 2290 >> >> Using 19x19 policy on 9x9 and 13x13 >> 19x19 DCNN_AyaF128a523x1 2345 >> 13x13 DCNNAya795F128a523 2354 >> 9x9 DCNN_AyaF128a523x1 2179 >> >> 19x19 policy is similar strength on 13x13 and 166 Elo weaker on 9x9. >> 9x9 policy is 390 Elo weaker on 13x13, and 491 Elo weaker on 19x19. >> It seems smaller board is more useless than bigger board... >> >> Note: >> All programs select maximum policy without search. >> All programs use opening book. >> 19x19 policy is Filter128, Layer 12, without Batch Normalization. >> 9x9 policy is Filter128, Layer 11, without Batch Normalization. >> 19x19 policy is made from pro 78000 games, GoGoD. >> 9x9 policy is made from 10k/move. It is CGOS 2892(Aya797c_p1v1_10k). >> Ratings are BayesElo. >> >> Thanks, >> Hiroshi Yamashita >> >> _______________________________________________ >> Computer-go mailing list > > > _______________________________________________ > Computer-go mailing list
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