Hi Yamashita Thanks you for uploading them, and explaining how they are organised. Your contribution is much appreciated!
Lukas On 4/5/17, Hiroshi Yamashita <y...@bd.mbn.or.jp> wrote: > Hi, > > I have uploaded Aya's selfplay games. > There are about 1,440,000 games. > Selfplay program strength is about KGS 4d and 5d. > > Aya's selfplay games for training value network > http://www.yss-aya.com/ayaself/ayaself.html > > Using these games, KGS 4d over, tygem 9d, and GoGoD, I made slightly > (+70 Elo) better value network than using KGS 4d over, tygem 9d, > and GoGoD. White tends to win in KGS komi 0.5 games. So I deleted > 41% white win games in komi 0.5 game. > > Value network is 64 Filters, 14 Layers with batch normalization. > Caffe's prototxt is > http://www.yss-aya.com/ayaself/20170405aya_value.tar.gz > > A game has 4 parts. > > 1. First move is selected from opening book. And rorated 8 symmetry > randomly. > 2. 2nd - 16th moves are selected randomly from Policy network probability. > 3. 2000 playouts/move self play. And it ends when a player resigns. > 4. resume with 300 playouts/move selfplay from resign position. And remove > all dead stones. This 300 playouts/move selfplay is about KGS 3d. > Only root node is created by Policy network. > > Komi is 7.5, Chinese rule. > > Note: > If Aya plays (1,1) or (1,19) or (19,1) or (19,19) or (9,1)(=J19) within > 16 moves, it is bug. It should be deleted. > If original game result "GN[B+R," and game result "RE[B+3.5]" is different > (like RE[W+5.5]), it should be deleted. 300 playout/move makes mistakes. > > Thanks, > Hiroshi Yamashita > > _______________________________________________ > Computer-go mailing list > Computer-go@computer-go.org > http://computer-go.org/mailman/listinfo/computer-go _______________________________________________ Computer-go mailing list Computer-go@computer-go.org http://computer-go.org/mailman/listinfo/computer-go
