On Mon, Mar 16, 2015 at 06:37:14PM +0900, Rémi Coulom wrote:
> Tomorrow, the handicap will be 4 stones for DolBaram, and 3 stones for Crazy
> Stone.
DolBaram won the 4-handicap game against Cho Chikun 9p!
Petr Baudis
___
You can have multiple kos on the board. Two is the most usual case that
doesn't trigger other rules. Easiest (logically, not practically, perhaps)
is to never repeat a board position ever (so called superko, I think),
which could be implemented as a full-board-position hash.
s.
On Mar 11, 2015 10:
On 3/12/2015 6:16 AM, Robert Jasiek wrote:
On 12.03.2015 06:07, Ray Tayek wrote:
i need to implement a simple ko rule.
Supposing you want a strategically simple AND complete ko ruleset, you
can choose from:
1) short cycle loss (2 or 3 successive plays, see below) + long cycle
tie ko rule
On 3/12/2015 9:49 AM, Hiroshi Yamashita wrote:
...
i need to implement a simple ko rule.
I wrote simple pure-MC and UCT sample.
http://www.yss-aya.com/puremc20150313e.zip
put() function handles a simple ko.
got it.
thanks
--
Honesty is a very expensive gift. So, don't expect it from cheap
Can you say anything about whether you think their approach to unsupervised
learning could be applied to networks similar to those you trained? Any
practical or theoretical constraints we should be aware of?
On Monday, 16 March 2015, Aja Huang wrote:
> Hello Oliver,
>
> 2015-03-16 11:58 GMT+00:0
Here is a partial game record I saved during the game. I am sorry I did not
save the full game as sgf. It is on the nngs server of the UEC, so I might be
able to get it tomorrow.
Crazy Stone invaded too deeply, and died.
Thank you Rémi!
That was a very surprising game. I would have sworn tha
What an unfortunate game against the human opponent. The trouble started
early with the tight low pincer at move 12.
The way black could press down on that move is what created the incentive
for CS to play the totally unreasonable invasion on the right a little
later.
Stefan
On Mon, Mar 16, 201
Hello Oliver,
2015-03-16 11:58 GMT+00:00 Oliver Lewis :
>
> 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 work,
> but maybe Aj
Hi Hideki,
2015-03-16 11:34 GMT+00:00 Hideki Kato :
>
> #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 harder to reverse.
Dear Hikedi,
thank you for the insight. I stand corrected. Also thank you for the SGF
file.
Cheers
Lukas
On Mon, Mar 16, 2015 at 12:34 PM, Hideki Kato
wrote:
> Lukasz,
>
> They are not newcomers. See KGS Annual championship ranking, for
> example. Nomitan and DolBaram have KGS rank 3d and 5d
I am also interested in unsupervised learning. When this first came up, I
found this paper: http://arxiv.org/pdf/1312.5602v1.pdf, where the authors
taught a deep convolutional network to play games from the Atari console.
They used what they call "Deep Reinforcement Learning", a variant of
Q-learni
Lukasz,
They are not newcomers. See KGS Annual championship ranking, for
example. Nomitan and DolBaram have KGS rank 3d and 5d, resp. in blitz
games.
#DolBaram registered last UEC Cup but didn't come to the venue :D
The reason Zen lost against Nomitan was, as far as I've studied, just
a ha
> The important thing is that the games don't have to be played perfectly: They
>just need to be significantly better than your current model, so you can tweak
>the model to learn from them.
Thats an important incite. I hadnt thought of that.
Maybe could combine with some concept of "forgettin
As for the game records in the UEC Cup, we are checking them manually
because there are some garbage in the
SGF files saved by the NNGS server. It will take several days to clear
them all to publish on our Web page. Sorry.
By the way, as a side information, Sakakibara kun is a 7d in Tygem.
Best
Here is a partial game record I saved during the game. I am sorry I did not
save the full game as sgf. It is on the nngs server of the UEC, so I might be
able to get it tomorrow.
Crazy Stone invaded too deeply, and died.
Tomorrow, the handicap will be 4 stones for DolBaram, and 3 stones for Cra
2015-03-16 17:47 GMT+09:00 Petr Baudis :
>
> I got the impression that O Meien is part of the GoTrend team.
> Is that correct? Does anyone know any details about GoTrend?
> (Is it a university or commercial project? Any interesting algorithms?)
>
Yes, he is. In fact, O Meien sensei and Shi-Jim Y
The human brain is not the most powerful AI, because it fails the "A" test.
I suspect bootstrapping is not very hard. I have recently written a Spanish
checkers program starting with no knowledge and I got it to play top-human
level checkers within a few weeks.
You can build a database of games a
Thank you for the frequent updates and the pictures.
I am most curious to learn why it is that Zen, who usually ends up very
high in these competitions, has been defeated by two newcomers in the
field. What are Dolbaram and Nomitam doing differently?...
Cheers
Lukas
On Mon, Mar 16, 2015 at 9:58
UEC student won a exhibition game against CrazyStone without handicap.
Thank you for keeping us in touch, Hiroshi!
Sad for Zen, nice for Nomitan and nice to see Dolbaram in the finals. It
will be interesting to see it play a pro.
Do you know if there is a kifu for the game between CS and the st
A few blurry photos I took:
http://pasky-jp.soup.io/post/556768169/UEC-Cup-2015-exhibition-game-was-between
http://pasky-jp.soup.io/post/556769031/The-prize-winners-Right-of-Remi-is
http://pasky-jp.soup.io/post/556769152/All-qualified-participants
Thank you Petr,
So y
> To be honest, what I really want is for it to self-learn,...
I wonder if even the world's most powerful AI (i.e. the human brain)
could self-learn go to, say, strong dan level? I.e. Give a boy genius a
go board, the rules, and two years, but don't give him any books, hints,
or the chance to play
On Sun, Mar 15, 2015 at 03:06:52PM +0900, Hiroshi Yamashita wrote:
> CrazyStone won.
>
> 1. CrazyStone
> 2. DolBaram
> 3. Aya
> 4. Nomitan
> 5. Zen
> 6. Go Trend
>
> Go Trend is a new Taiwan's program.
> Go Trend team has 7 people and they all visit here.
A few blurry photos I took:
ht
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