I think it'd be quite interesting to at least keep track of the winrate
over the 4d version until then (although I recognize it will be zero for
some time). Maybe when it wins one?
s.
On Nov 6, 2017 6:00 PM, "Detlef Schmicker" wrote:
> Not in this weak state of the learned net. I measure with a
Not in this weak state of the learned net. I measure with a net trained
from 4d+ kgs games right now on CGOS (NG-learn-ref).
This should be the line, which could be beaten by Zero after enough
learning. If I manage to beat this version (I check every learning cycle
10 games against this version) t
Detlef,
I misunderstand your last sentence. Do you mean that eventually you'll put
a subset of functioning nets on CGOS to measure how quickly their strength
is improving?
s.
On Nov 6, 2017 4:54 PM, "Detlef Schmicker" wrote:
> I thought it might be fun to have some games in early stage of lear
I thought it might be fun to have some games in early stage of learning
from nearly Zero knowledge.
I did not turn off the (relatively weak) playouts and mix them with 30%
into the result from the value network. I started at an initial random
neural net (small one, about 4ms on GTX970) and use a r
Many many thanks to Nick Wedd for organizing the KGS bot tournament
yesterday, and much more for his engagement over twelve years to
rum these monthly tournaments. It was a very great contributions to
the computer go scene!
> Congratulations to Zen19X, winner of today's KGS computer Go
> tournam
