CGOS 19x19 uses GNU Go v3.7.10 as the anchor, rated 1800.
Best, Hideki
Nick Wedd: :
>Hi Magnus,
>
>Thank you for the information. I don't know how to interpret it. Is there
>any relationship between these two lists of Elo
Hi,
Can anyone (starting with their author maybe) comment on the go
programs playing on KGS as the various "Golois" versions ?
In particular, I noticed that Golois2 KGS rank recently jumped from a
solid 1dan to a solid 6dan (actually now in the low 7dan in fast games,
15"/move time
Hi Nick
best info I have is:
http://computer-go.org/pipermail/computer-go/2016-June/009444.html
http://computer-go.org/pipermail/computer-go/2016-February/008638.html
Detlef
Am 18.07.2017 um 18:20 schrieb Nick Wedd:
> Hi Magnus,
>
> Thank you for the information. I don't know how to
Hi Magnus,
Thank you for the information. I don't know how to interpret it. Is there
any relationship between these two lists of Elo ratings?
http://www.yss-aya.com/cgos/19x19/bayes.html
https://en.wikipedia.org/wiki/Go_ranks_and_ratings
Best,
Nick
On 17 July 2017 at 12:40,
AlphaGo's zero plane of the policy network is used as the color
feature for the value network (Extended Data Table 2, page 31).
These networks share the same architecture so that the value
network can be initialized by the policy network before
training.
Hideki
Brian Lee:
I agree with you. It makes no sense. You'll take whatever linear
combinations you want and they'll all be zero.
Álvaro.
On Tue, Jul 18, 2017 at 6:53 AM, Brian Lee
wrote:
> I've been wondering about something I've seen in a few papers (AlphaGo's
> paper, Cazenave's
Hi, my 2 cent:
I think it is more or less redundant for the border. Alphago has a plane
for black, white and empty. So a border point is definitely different
anyway since it will have no features set in any plane. But all points
on the board with has a 1 set in one of the three b/w/e-planes.
It does, and for the exact same reason than a plan filled with 1.
You have a lot of bias inside your networks so whatever the input you
give, you can be sure it will be transformed, be it a plan full of 0 or
a plan full of 1. As you said, it helps the network to keep the track of
the
I've been wondering about something I've seen in a few papers (AlphaGo's
paper, Cazenave's resnet policy architecture), which is the presence of an
input plane filled with 0s.
The input features also typically include a plane of 1s, which makes sense
to me - zero-padding before a convolution