Hello all- Has anyone successfully used neural nets to help guide MC playouts? Has anyone used NN to learn patterns larger than 3x3?
I'm working on a grad-school project, and discovered a few interesting things. After analyzing 10,000+ high-dan games from KGS, I find that more than 50% of the time, moves are played within a 5x5 window centered at the opponent's previous move (call this a "tactical" move, vs a strategic move). I used the FANN library to learn these 5x5 patterns, and found that the NN could predict tactical moves with ~27% accuracy (and with a >50% chance that the answer would be in the top 3 moves proposed by the NN). Is this old news? Are neural nets just too slow to be helpful to MC (reduce the playout rate too much?) Thoughts welcome. I will be up late finishing the report since it is due tomorrow ;) -Steven
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