[Computer-go] Mastering the Game of Go with Deep Neural Networks and Tree Search (value network)

Detlef Schmicker ds2 at physik.de
Thu Feb 4 09:09:34 PST 2016


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Hi,

I try to reproduce numbers from section 3: training the value network

On the test set of kgs games the MSE is 0.37. Is it correct, that the
results are represented as +1 and -1?

This means, that in a typical board position you get a value of
1-sqrt(0.37) = 0.4  --> this would correspond to a win rate of 70% ?!

Is it really true, that a typical kgs 6d+ position is judeged with
such a high win rate (even though it it is overfitted, so the test set
number is to bad!), or do I misinterpret the MSE calculation?!

Any help would be great,

Detlef

Am 27.01.2016 um 19:46 schrieb Aja Huang:
> Hi all,
> 
> We are very excited to announce that our Go program, AlphaGo, has
> beaten a professional player for the first time. AlphaGo beat the
> European champion Fan Hui by 5 games to 0. We hope you enjoy our
> paper, published in Nature today. The paper and all the games can
> be found here:
> 
> http://www.deepmind.com/alpha-go.html
> 
> AlphaGo will be competing in a match against Lee Sedol in Seoul,
> this March, to see whether we finally have a Go program that is
> stronger than any human!
> 
> Aja
> 
> PS I am very busy preparing AlphaGo for the match, so apologies in
> advance if I cannot respond to all questions about AlphaGo.
> 
> 
> 
> _______________________________________________ Computer-go mailing
> list Computer-go at computer-go.org 
> http://computer-go.org/mailman/listinfo/computer-go
> 
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