[Computer-go] Teaching Deep Convolutional Neural Networks to Play Go
darren at dcook.org
Mon Dec 15 03:24:32 PST 2014
> When I had an opportunity to talk to Yann LeCun about a month ago, I asked
> him if anybody had used convolutional neural networks to play go and he
> wasn't aware of any efforts in that direction.
There was work using neural networks in the mid 1990s, when I first
started with computer go. I think the problem, at that time, came down
to if you use just a few features it was terrible quality, but if you
used more interesting inputs the training times increased exponentially,
so much so that it became utterly impractical.
I suppose this might be another idea, like monte carlo, that just needed
enough computing power for it to become practical for go; it'll be
interesting to see how their attempts to scale it turn out. I've added
the paper in my Christmas Reading list :-)
>> Teaching Deep Convolutional Neural Networks to Play Go
>> Thier move prediction got 91% winrate against GNU Go and 14%
>> against Fuego in 19x19.
Darren Cook, Software Researcher/Developer
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