[Computer-go] AlphaGo Zero

Álvaro Begué alvaro.begue at gmail.com
Thu Oct 19 06:35:11 PDT 2017


Yes, it seems really odd that they didn't add a plane of all ones. The
"heads" have weights that depend on the location of the board, but all the
other layers can't tell the difference between a lonely stone at (1,1) and
one at (3,3).

In my own experiments (trying to predict human moves) I found that 3 inputs
worked well: signed liberties, age capped at 8, all ones. I think of the
number of liberties as a key part of the game mechanics, so I don't think
it detracts from the purity of the approach, and it's probably helpful for
learning about life and death.

Álvaro.




On Thu, Oct 19, 2017 at 7:42 AM, Gian-Carlo Pascutto <gcp at sjeng.org> wrote:

> On 18-10-17 19:50, cazenave at ai.univ-paris8.fr wrote:
> >
> > https://deepmind.com/blog/
> >
> > http://www.nature.com/nature/index.html
>
> Another interesting tidbit:
>
> The inputs don't contain a reliable board edge. The "white to move"
> plane contains it, but only when white is to move.
>
> So until AG Zero "black" learned that a go board is 19 x 19, the white
> player had a serious advantage.
>
> I think I will use 18 input layers :-)
>
> --
> GCP
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