On Tue, Feb 23, 2016 at 4:41 PM, Justin .Gilmer <jmgil...@gmail.com> wrote:
> I made a similar attempt as Alvaro to predict final ownership. You can > find the code here: https://github.com/jmgilmer/GoCNN/. It's trained to > predict final ownership for about 15000 professional games which were > played until the end (didn't end in resignation). It gets about 80.5% > accuracy on a held out test set, although the accuracy greatly varies based > on how far through the game you are. Can't say how well it would work in a > go player. > At the risk of sounding like a broken record; that result (~80%) seems similar to what I got many years ago when excluding life&death knowledge. When life & death knowledge is included (which can also be learned from examples and/or self-play) then the accuracy should approach 100% for final positions. For more information see chapter 10 of my thesis ( http://erikvanderwerf.tengen.nl/pubdown/thesis_erikvanderwerf.pdf). Erik
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