> 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 :-) Darren >> Teaching Deep Convolutional Neural Networks to Play Go >> http://arxiv.org/pdf/1412.3409v1.pdf >> >> Thier move prediction got 91% winrate against GNU Go and 14% >> against Fuego in 19x19. -- Darren Cook, Software Researcher/Developer My new book: Data Push Apps with HTML5 SSE Published by O'Reilly: (ask me for a discount code!) http://shop.oreilly.com/product/0636920030928.do Also on Amazon and at all good booksellers! _______________________________________________ Computer-go mailing list Computer-go@computer-go.org http://computer-go.org/mailman/listinfo/computer-go
