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

Stefan Kaitschick skaitschick at gmail.com
Fri Feb 5 07:04:27 PST 2016

The evaluation is always at least as deep as leaves of the tree.
Still, you're right that the earlier in the game, the bigger the inherent
One thing I don't understand: if the network does a thumbs up or down,
instead of answering with a probability,
what is the use of MSE? Why not just prediction rate?

On Thu, Feb 4, 2016 at 8:34 PM, Álvaro Begué <alvaro.begue at gmail.com> wrote:

> I am not sure how exactly they define MSE. If you look at the plot in
> figure 2b, the MSE at the very beginning of the game (where you can't
> possibly know anything about the result) is 0.50. That suggests it's
> something else than your [very sensible] interpretation.
> Álvaro.
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