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
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