Thank you for being so kind in your response. I truly appreciate it.
s.
On Feb 28, 2018 6:32 PM, "Hideki Kato" wrote:
> uurtamo .: mail.gmail.com>:
> >I didn't mean to suggest that I can or will solve this problem tomorrow.
> >
> >What I meant to say is that it is clearly obvious that 9x9 is n
Hi Sighris,
i have always thought that creating algorithms for arbitrary large go
boards should enlighten us in regards to playing on smaller go boards.
A humans performance doesn't differ that much on differently sized large
go boards and it scales pretty well. For example one would find it
rath
uurtamo .: :
>I didn't mean to suggest that I can or will solve this problem tomorrow.
>
>What I meant to say is that it is clearly obvious that 9x9 is not immune to
>being destroyed -- it's not what people play professionally (or at least is
>not what is most famous for being played professionally
A guidline for CGOS users:
Do self-play to pick-up few strongest programs at your site
(never use CGOS for this purpose) and throw them into CGOS
to evaluate their ratings among others. Please note that
CGOS is the valueable shared resource for all developers.
#We (mainly Hiroshi and me) are
I didn't mean to suggest that I can or will solve this problem tomorrow.
What I meant to say is that it is clearly obvious that 9x9 is not immune to
being destroyed -- it's not what people play professionally (or at least is
not what is most famous for being played professionally), so it is going
Hi Remi,
Wow, "Weights" is your engine. So my guess was right :-)
In 9x9 CGOS, did you train in 9x9, or just use 19x19 network?
Weights_33_400 is stronger than Weights_40_400.
Maybe it is because Weights_33_400 use CrazyStone's playout, and
Weights_40_400 does not use?
Thanks,
Hiroshi Yamashita
Rémi, can you share any details about how you are training your network?
Are you doing self-play games? Do you have access to a large number of GPUs?
2018-02-28 13:04 GMT-06:00 David Wu :
> It's not even just liberties and semeai, it's also eyes. Consider for
> example a large dragon that has
It's not even just liberties and semeai, it's also eyes. Consider for
example a large dragon that has miai for 2 eyes in distant locations, and
the opponent then takes one of them - you'd like the policy net to now
suggest the other eye-making move far away. And you'd also like the value
net to dis
See also: Oriented Response Networks https://arxiv.org/abs/1701.01833
On Wed, Feb 28, 2018 at 11:40 AM, Jonathan Roy wrote:
> I'm curious if anyone has applied this idea in their Go software, and what
> results you obtained? It is a way to make rotations (and transpositions
> with more effort) g
192 and 256 are the numbers of channels. They are fully connected, so the
number of 3x3 filters is 192^2, and 256^2.
Having liberty counts and string size as input helps, but it solves only a
small part of the problem. You can't read a semeai from just the liberty-count
information.
I tried to
>
> To follow up on the paper I listed earlier I just found this link with a
> long list of related papers:
>
> http://www.arxiv-sanity.com/1705.08623v1
>
> Many from 2016-2018 and all dealing with neural networks and ways to solve
> rotation. Deep Rotation Equivariant Network (
> http://arxiv.org/
I'm curious if anyone has applied this idea in their Go software, and what
results you obtained? It is a way to make rotations (and transpositions
with more effort) go away as an issue, regardless of the way you input the
board you'd get the same result back out. Short summary from the paper (
http
> Weights_31_3200 is 20 layers of 192, 3200 board evaluations per move
> (no random playout). But it still has difficulties with very long
> strings. My next network will be 40 layers of 256, like Master.
"long strings" here means solidly connected stones?
The 192 vs. 256 is the number of 3x3 co
Hi,
Thanks Peter for running Leela. I don't think the many LZ instances cause a big
problem.
It's a pity Zen did not play cronus. cronus is very impressive. The next run of
Bayeselo might move cronus to the top. zero40b is very strong too. The new wave
of AlphaZero clones will become considera
Disclaimer: I only run the LZ-0xx-p1600-t1-r1 bots.
On Wed, Feb 28, 2018 at 8:38 AM, Peter Wen wrote:
> Hi Hiroshi,
>
> I've turned off half of the LZ instances and hopefully Hideki will run Zen
> again. The various versions of Zen were the most useful high ranking
> anchors on CGOS.
>
> There h
Hi Hiroshi,
I've turned off half of the LZ instances and hopefully Hideki will run Zen
again. The various versions of Zen were the most useful high ranking
anchors on CGOS.
There have been many changes to LZ's engine supposed to make it stronger,
so I'd like to know if the ratings are actually di
No Zen on CGOS is pity.
To LZ-0xx-p1600-t1-r1 author,
I think LZ-073-p1600-t1-r1 has BayesElo already.
From LeelaZero page,
73 2018-02-05 23:0654bfb7b8
LZ-54bfb7-t1-p1600, BayesElo is 2903.
Recalculating CGOS rating is not essential.
And too many same kind bots running makes many s
Welcome back Remi!
On the 19x19 cgos, recently many LeelaZeros are running.
This flood is making CGOS less useful and so I'll reconnect
Zen after the flooding ends. Sorry for inconvinience.
Hideki
Remi Coulom:
<1656424330.7641525.1519798424452.javamail.r...@spooler6-g27.priv.proxad.net>:
>H
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