your question.
Regards,
Aja
>
>
>
> On Fri, Mar 2, 2018 at 4:52 AM, Aja Huang <ajahu...@gmail.com> wrote:
>
>>
>>
>> 2018-03-02 6:50 GMT+00:00 "Ingo Althöfer" <3-hirn-ver...@gmx.de>:
>>
>>> Von: "
2018-03-02 6:50 GMT+00:00 "Ingo Althöfer" <3-hirn-ver...@gmx.de>:
> Von: "David Doshay"
> > Go is hard.
> > Programming is hard.
> >
> > Programming Go is hard squared.
> > ;^)
>
> And that on square boards.
> Mama mia!
>
Go is hard for humans, but in my own opinion I think Go
2017-12-06 13:52 GMT+00:00 Gian-Carlo Pascutto <g...@sjeng.org>:
> On 06-12-17 11:47, Aja Huang wrote:
> > All I can say is that first-play-urgency is not a significant
> > technical detail, and what's why we didn't specify it in the paper.
>
> I will have to disagree h
2017-12-06 9:23 GMT+00:00 Gian-Carlo Pascutto :
> On 03-12-17 17:57, Rémi Coulom wrote:
> > They have a Q(s,a) term in their node-selection formula, but they
> > don't tell what value they give to an action that has not yet been
> > visited. Maybe Aja can tell us.
>
> FWIW I
2017-10-27 8:15 GMT+01:00 Rémi Coulom :
> Hi,
>
> I would like to thank Nick very much, too. When I was working on Crazy
> Stone, these tournaments were a great source of motivation and enjoyment.
> I'll keep particularly good memories of the KGS-tournament parties in Tokyo.
2017-10-23 0:29 GMT+01:00 Lucas Baker :
> Hi Robert,
>
> The AlphaGo Zero games are free to use with proper attribution, so please
> use them as you like for commentaries as long as you credit DeepMind.
>
Yes, Lucas is right. We hope you enjoy AlphaGo Zero games. :)
Best
On Thu, Oct 19, 2017 at 11:04 AM, Hiroshi Yamashita
wrote:
> I have two questions.
>
> 2017 Jan, Master , defeat 60 pros in a row.
> 2017 May, Master?, defeat Ke Jie 3-0.
>
> Master is Zero method with rollout.
> Zero is Zero method without rollout.
>
> Did AlphaGo that
2017-05-28 23:14 GMT+08:00 Petr Baudis :
> After winning against Ke Jie 3-0
>
> https://deepmind.com/research/alphago/alphago-china/
>
> AlphaGo retires from competitive Go. The team released 50 selfplay
> games, will work on a teaching tool and publishing a second paper.
quot;
>
> That seems unbelievable. I'd like to set up live comment by Crazy Stone on
> the Crazy Sensei web site.
>
> Rémi
>
> - Mail original -
> De: "Aja Huang" <ajahu...@gmail.com>
> À: computer-go@computer-go.org
> Envoyé: Vendredi 19 Mai 2017 05
Thanks Hiroshi. I hope you will enjoy AlphaGo's games.
Aja
2017-05-19 11:28 GMT+08:00 Hiroshi Yamashita :
> Hi,
>
> It will be played in a week.
> But there are few information about this.
> Is there YouTube live available?
>
> I found a schedule in Panda-net site.
>
> Ke Jie
On Mon, Apr 17, 2017 at 4:19 PM, Yu Yuan wrote:
> 2015.11.02 - 2016.12.31
> TYGEM "9D vs 9D" dataset (1,516,031 games).
>
> 2003.09.25 - 2011.12.28
> TOM "9D vs 9D" dataset (50,956 games).
>
Hi Yu Yuan, I was wondering did you check with TYGEM and TOM about the
copyright of
On Tue, Mar 21, 2017 at 10:48 AM, Hideki Kato
wrote:
> The value network has been trained with Chinese rules and 7.5
> pts komi. Using this for Japanese and 6.5, there will be some
> error in close games. We knew this issue and thought such
> chances would be so small
Congrats for Leela's significant improvements. :)
Aja
On Tue, Feb 21, 2017 at 1:25 PM, Gian-Carlo Pascutto wrote:
> On 19-02-17 17:00, "Ingo Althöfer" wrote:
> > Hi,
> > the rank graph of LeelaX on KGS looks impressive:
> >
> >
On Mon, Dec 19, 2016 at 6:46 PM, "Ingo Althöfer" <3-hirn-ver...@gmx.de>
wrote:
> Hi,
> NATURE published a list of top 10 people in science 2016:
> http://www.nature.com/news/nature-s-10-1.21157
>
> Demis Hassabis, manager of the AlphaGo team, is in the list.
>
Thanks Ingo. Yes, I think Demis is
Hi Paweł,
On Thu, Sep 15, 2016 at 9:12 AM, Paweł Morawiecki <
pawel.morawie...@gmail.com> wrote:
> Dear Aja,
>
> On the _official_ website of Korean Baduk Association, specifically on
> their schedule (http://www.baduk.or.kr/info/schedule.asp), they announce
> what is called "Google event
ng you (again?!) in Leiden!
>
It was nice to see you, too. I'm glad you enjoy the commentary. :)
Aja
>
>
>
> On 09/14/2016 07:41 AM, Aja Huang wrote:
>
> Hi Richard,
>
> On Wed, Sep 14, 2016 at 2:54 PM, Richard Lorentz <richard.lore...@csun.edu
> > wrote:
>
&
Hi Richard,
On Wed, Sep 14, 2016 at 2:54 PM, Richard Lorentz
wrote:
> After following the link and then playing out one of the games in my
> browser (Chrome) I don't see the variations. Can anyone help me figure out
> how to make them visible?
>
You can see the
On Tue, Jul 26, 2016 at 1:47 PM, Aja Huang <ajahu...@google.com> wrote:
>
> four AlphaGo v18 vs. AlphaGo v18 self-play games
>
Correction: There will be three v18 self-play games, not four.
Regards,
Aja
___
Computer-go mailing list
Compu
On Tue, Jul 26, 2016 at 12:55 PM, J. van der Steen <
j.van.der.st...@gobase.org> wrote:
>
> Dear Alexander Kozlovsky,
>
> Are the sheets of this presentation available somewhere by any chance. The
> sheets are a bit hard to read in the video on YouTube.
>
Hi,
Thanks for the interest. We are
/cg2016/index.php?page=browseSessions=yes=yes=show
>
> At least 8 of the talks (including the keynote presentation by Aja Huang)
> are directly related to Go and computer Go.
>
Thanks Ingo.
In my talk I will focus on the source of AlphaGo's power: policy and value
networks. I will also menti
Well done, Yuangdong. :)
Aja
2016-06-10 18:31 GMT+01:00 Yuandong Tian :
> Hi all,
>
> DarkForest Go engine is now public on the Github (pre-trained CNN models
> are also public). Hopefully it will help the community.
>
> https://github.com/facebookresearch/darkforestGo
On 23 May 2016 08:00, "Rémi Coulom" wrote:
>
> I think one of the main problems is that the network learns good replies
to good moves. The training set does not have good replies to bad moves,
but the search tree is full of bad moves that need to be punished.
As the joseki
Hi Ingo,
2016-04-14 14:21 GMT+01:00 "Ingo Althöfer" <3-hirn-ver...@gmx.de>:
>
> Is 102.R10 really so special? I analysed that position with CrazyStone2013
> about 30 times (independent runs). In 20+ % of the runs, CS2013 also wants
> to play R12 (giving White 60+% chances of winning). But also in
On Tue, Apr 19, 2016 at 4:11 PM, Rémi Coulom wrote:
> Anybody knows who is the author of BetaGo? It is playing with account
> GoBeta on KGS, and is 6d.
>
I can confirm it's not AlphaGo or a weaker version of AlphaGo. We haven't
decided to play AlphaGo online yet, but when
2016-03-26 2:48 GMT+00:00 Petr Baudis :
>
> The word covered by the speaker's head is "self". Bot results in
> self-play are always(?) massively exaggerated. It's not uncommon to see
> a 75% self-play winrate in selfplay to translate to 52% winrate against
> a third-party reference
Good stuff, Hiroshi. Looks like I don't need to answer the questions
regarding value network. :)
Aja
On Sat, Mar 19, 2016 at 9:23 PM, Hiroshi Yamashita wrote:
> What are you using for loss?
>>
>
> I use this,
>
> layers {
> name: "loss"
> type: EUCLIDEAN_LOSS
> bottom:
Congrats to Zen's achievements! :)
Aja
On Mon, Feb 1, 2016 at 11:44 AM, Petr Baudis wrote:
> On Sun, Jan 31, 2016 at 10:16:25AM +0900, Hideki Kato wrote:
> > Petr Baudis: <20160130150502.gf12...@machine.or.cz>:
> > > Hi,
> > >
> > > it seems that Zen19X grabbed at KGS 7d and
2016-01-27 18:46 GMT+00:00 Aja Huang <ajahu...@google.com>:
> Hi all,
>
> We are very excited to announce that our Go program, AlphaGo, has beaten a
> professional player for the first time. AlphaGo beat the European champion
> Fan Hui by 5 games to 0. We hope you enjoy
Very interesting. Thanks John. :)
Aja
On Fri, Jan 22, 2016 at 4:18 AM, John Tromp wrote:
> It's been a long journey, and now it's finally complete!
>
> http://tromp.github.io/go/legal.html
>
> has all the juicy details...
>
> regards,
> -John
>
calculates the value?
>
Did you mean 7x7 Go was weakly solved before?
Aja
> Best,
> Erik
>
>
> On Mon, Nov 30, 2015 at 2:10 AM, Aja Huang <ajahu...@google.com> wrote:
>
>> It's the work by Chinese pro Li Zhe 7p.
>> http://blog.sina.com.cn/s/blog_53a2e03d0102vy
It's the work by Chinese pro Li Zhe 7p.
http://blog.sina.com.cn/s/blog_53a2e03d0102vyt5.html
His conclusions on 7x7 Go board:
1. Optimal komi is 9.0.
2. Optimal solution is not unique. But the first 3 moves are unique, and
the first 7 moves generate 5 major optimal solutions.
3. There are many
2015-11-06 9:41 GMT+00:00 Robert Jasiek <jas...@snafu.de>:
> On 06.11.2015 10:35, Aja Huang wrote:
>
>> another very strong Chinese pro Shi Yue
>> <http://www.goratings.org/players/449.html> (No.3 at Go ratings
>> http://www.goratings.org/, current No.2 in C
2015-09-26 2:48 GMT+01:00 Hideki Kato <hideki_ka...@ybb.ne.jp>:
> Aja Huang: <
> calqb9_kdkgkxsvrjksjmnvywe3tpjw1ct_n-tpjt_sdmmit...@mail.gmail.com>:
> >Congrats to Abakus. Does anyone know who is Abakus` author?
>
> Tobias Graf is the author.
> See http://ww
Congrats to Abakus. Does anyone know who is Abakus` author?
Aja
On 24 Sep 2015 18:15, "Nick Wedd" wrote:
> Thank you, Ingo, for noticing this. I did forget to post to the list about
> it.
>
> And congratulations to Abakus!
>
> Nick
>
> On 24 September 2015 at 16:58, "Ingo
Hi,
Thanks. I'll attend but I'll play Go myself rather than entering a Go
program. :)
See you in Liberec,
Aja
On Tue, Jun 16, 2015 at 11:07 AM, Petr Baudis pa...@ucw.cz wrote:
Hi!
On Mon, Jun 15, 2015 at 01:21:49PM +, Josef Moudrik wrote:
The tournament will take place on 29th July
On Wed, Apr 29, 2015 at 5:54 PM, Detlef Schmicker d...@physik.de wrote:
I did not test 100k playouts, I was lower than 2k playouts in all my
tests. No I am not sure we are stronger than Fuego, I should run on KGS...
(possibly after the 19x19 tournament on sunday)
We won against hirabot (1d
On Wed, Apr 15, 2015 at 12:24 PM, Igor Polyakov weiqiprogramm...@gmail.com
wrote:
5. But it misses this because squeezing leads to a few accidental losses
in playouts where black plays something that white doesn't respond to
My two cents: just prevent the accidental losses in playouts then
Hi Hideki,
2015-03-16 11:34 GMT+00:00 Hideki Kato hideki_ka...@ybb.ne.jp:
#So far, Zen often lost territory and built thickness in early stages
and revesed in hte middle. However, rivals are quickly getting stronger
while top two are almost standing :-( these a few years, it's also
getting
Hello Oliver,
2015-03-16 11:58 GMT+00:00 Oliver Lewis ojfle...@yahoo.co.uk:
It's impressive that the same network learned to play seven games with
just a win/lose signal. It's also interesting that both these teams are in
different parts of Google. I assume they are aware of each other's
2015-01-09 23:04 GMT+00:00 Darren Cook dar...@dcook.org:
Aja wrote:
I hope you enjoy our work. Comments and questions are welcome.
I've just been catching up on the last few weeks, and its papers. Very
interesting :-)
I think Hiroshi's questions got missed?
I did answer Hiroshi's
2015-01-11 15:59 GMT+00:00 Detlef Schmicker d...@physik.de:
By the way:
Todays bot tournament nicego19n (oakfoam) played with a CNN for move
prediction.
It was mixed into the original gamma with some quickly optimized parameter
leading to 100ELO improvement for selfplay with 2000
Hi Hugh,
On Fri, Dec 26, 2014 at 9:49 AM, Hugh Perkins hughperk...@gmail.com wrote:
Estimated total number of parameters
approx = 12 layers * 128 filters * 128 previous featuremaps * 3 * 3
filtersize
= 1.8 million
But you say 2.3 million. It's similar, so seems feature maps are
fully
2014-12-21 3:02 GMT+00:00 Hiroshi Yamashita y...@bd.mbn.or.jp:
I tried Fuego 1.1(2011, Windows version) on Intel Core i3 540,
2 cores 4 thread. 3.07GHz.
Thanks. You remind me we should write Fuego's version as 1.1.SVN rather
than 1.1. In Clark's paper they tested against Fuego 1.1. So the
2014-12-20 11:33 GMT+00:00 Hiroshi Yamashita y...@bd.mbn.or.jp:
I don't understand minibatch.
Does CNN need 0.15sec for a positon, or 0.15sec for 128 positions?
0.15 sec for 128 positions.
ABCDEFGHJ
9. White(O) to move.
8...OO Previous Black move is H5(X)
7..XXXOO..
Hi Hiroshi,
2014-12-20 3:31 GMT+00:00 Hiroshi Yamashita y...@bd.mbn.or.jp:
But it looks playing strength is similar to Clark's CNN.
Against GnuGo our 12-layer CNN is about 300 Elo stronger (97% winning rate
against 86% based one the same KGS games). Against Fuego using their time
setting (10
Hi Martin,
Thanks for the explanation. I'll write Fuego runs
2 (considering early stop) * 2.2 / 3.1
roughly 14200 playouts per move on the empty board using their time limits.
Thanks,
Aja
On Sat, Dec 20, 2014 at 11:27 PM, Martin Mueller mmuel...@ualberta.ca
wrote:
I ran Fuego (latest
to make the
output fit 19x19?!
Thanks for the great work
Detlef
Am Freitag, den 19.12.2014, 23:17 + schrieb Aja Huang:
Hi all,
We've just submitted our paper to ICLR. We made the draft available at
http://www.cs.toronto.edu/~cmaddis/pubs/deepgo.pdf
I hope
Chris Maddison also produced very good (in fact much better) results using
a deep convolutional network during his internship at Google. Currently
waiting for publication approval, I will post the paper once it is passed.
Aja
On Mon, Dec 15, 2014 at 2:59 PM, Erik van der Werf
2014-12-15 21:31 GMT+00:00 Petr Baudis pa...@ucw.cz:
Still, strong play makes sense for a strong predictor. I believe I
can also beat GNUGo 90% of time in blitz settings without doing pretty
much *any* concious sequence reading. So I would expect a module that's
supposed to mirror my
2014-12-15 23:29 GMT+00:00 Petr Baudis pa...@ucw.cz:
Huh, aren't you?
I just played quick two games GnuGoBot39 where I tried very hard not
to read anything at all, and had no trouble winning. (Well, one of my
groups had some trouble but mindless clicking saved it anyway.)
That well
Thanks Michael and Petr for setting up computer-go at computer-go.org
http://dvandva.org/cgi-bin/mailman/listinfo/computer-go.
Please keep the old mailing list computer-go at dvandva.org
http://dvandva.org/cgi-bin/mailman/listinfo/computer-go up for a while.
We will investigate the issue of Gmail
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