2015-01-11 15:59 GMT+00:00 Detlef Schmicker <d...@physik.de>: > > By the way: > Todays bot tournament nicego19n (oakfoam) played with a CNN for move > prediction. > It was mixed into the original gamma with some quickly optimized parameter > leading to >100ELO improvement for selfplay with 2000 playouts/move. I used > the Clark and Storkey Network, but with no additional features (only a > black and a white layer). I trained it on 60000 kgs games and reached about > 41% prediction rate. I have no delayed evaluation, as I evaluate no > mini-batch but only one position taking about 1.6ms on the GTX-970. A > little delay might happen anyway, as only one evaluation is done at once > and other threads might go on playing while one thread is doing CNN. We > have quite slow playouts anyway, so I had around 70000 playouts/move during > the game. > > If you want to get an impression, how such a bot plays, have a look at the > games :) >
Congrats on oakfoam's significant improvement with the CNN. The game oakfoam beat HiroBot[1d] is very nice http://files.gokgs.com/games/2015/1/11/HiraBot-NiceGo19N.sgf Would you release the newest version of oakfoam and the CNN? I couldn't find your git or svn repository at http://oakfoam.com/#downloads Aja
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