Re: [Computer-go] Keynote Lecture by Aja Huang

[Ingo Althöfer]

Hello,

the organizers in Leiden just informed me:
> We will make a video of the talk and will put it on
> the internet like the lectures of the conference.

I will inform the list when the weblink becomes known.

Ingo.

> Gesendet: Donnerstag, 16. Juni 2016 um 20:15 Uhr
> Von: "David Fotland" 
> An: computer-go@computer-go.org
> Betreff: Re: [Computer-go] Keynote Lecture by Aja Huang
>
> Can the lecture be recorded or broadcast for those of us who can’t be there?
> 
> Regards,
> 
> David
> 
> > -Original Message-
> > From: Computer-go [mailto:computer-go-boun...@computer-go.org] On
> > Behalf Of "Ingo Althöfer"
> > Sent: Thursday, June 16, 2016 9:36 AM
> > To: computer-go@computer-go.org
> > Subject: [Computer-go] Keynote Lecture by Aja Huang
> > 
> > Hello,
> > 
> > the ICGA is proud to annouce a special talk by Aja Huang during the
> > Computer Olympiad and "Computer Games" conference in Leiden (NL).
> > 
> >  Computer and Games 2016 Conference 
> > 
> > Keynote Lecture
> > June 29, 2016: 14.00-15.00 h.
> > 
> > Location: Leiden University, room 1 of the Gorlaeus Building
> > 
> > Lecture by Aja Huang of the AlphaGo team
> > 
> > AlphaGo: Combining Deep Neural Networks with Tree Search
> > 
> > Abstract
> > In this talk we will present the source of power of AlphaGo. In
> > AlphaGo, we use  value networks  to evaluate board positions and
> > policy networks  to select moves. These deep neural networks are
> > trained by a novel combination of supervised learning from human expert
> > games, and reinforcement learning from games of self-play. Without any
> > look ahead search, the neural networks play Go at the level of state-
> > of-the-art Monte Carlo tree search programs that simulate thousands of
> > random games of self-play. We also introduce a new search algorithm
> > that combines Monte Carlo simulation with value and policy networks.
> > Using this search algorithm, our program AlphaGo achieved a 99.8%
> > winning rate against other Go programs, and defeated the human European
> > Go champion by 5 games to 0. In March 2016 AlphaGo defeated Lee Sedol,
> > the strongest human Go player in the last decade.
> > 
> > 
> > Hope, you all will come.
> > 
> > Cheers, Ingo.
> > ___
> > Computer-go mailing list
> > Computer-go@computer-go.org
> > http://computer-go.org/mailman/listinfo/computer-go
> 
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Re: [Computer-go] KGS 8-dan and strong opponents

[Xavier Combelle]

I must say Zen19A has a very nice play style

2016-06-21 10:38 GMT+02:00 Hideki Kato :

> Dear Ingo and others,
>
> I'd like to note that Zen19A limits the handicap upto 4 stones
> instead of usual 6.  This is the reason the account is not Zen19
> but Zen19A.  #It's weill known that MC bots are not good at
> (high) handicap games.
>
> Best, Hideki
>
> Ingo Althofer:
>  >:
> >Hi,
> >
> >for the first time there is a bot with "stable" 8-dan rank on KGS:
> >Zen19A, an alternative Zen account.
> >
> >http://www.gokgs.com/gameArchives.jsp?user=zen19a
> >
> >Congratulations to the Zen team!
> >
> >And an observation:
> >Already several games against human players with 8-dan
> >or 9-dan rank have been played by Zen19A in the last
> >12 hours.
> >
> >Likely, opponents in this strong range will help the
> >programmers to improve their brainchild further.
> >
> >Ingo.
> >___
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> >Computer-go@computer-go.org
> >http://computer-go.org/mailman/listinfo/computer-go
> --
> Hideki Kato 
> ___
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>
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Re: [Computer-go] KGS 8-dan and strong opponents

[Hideki Kato]

Dear Ingo and others,

I'd like to note that Zen19A limits the handicap upto 4 stones 
instead of usual 6.  This is the reason the account is not Zen19 
but Zen19A.  #It's weill known that MC bots are not good at 
(high) handicap games.

Best, Hideki

Ingo Althofer: 
: 
>Hi,
>
>for the first time there is a bot with "stable" 8-dan rank on KGS:
>Zen19A, an alternative Zen account.
>
>http://www.gokgs.com/gameArchives.jsp?user=zen19a
>
>Congratulations to the Zen team! 
>
>And an observation:
>Already several games against human players with 8-dan 
>or 9-dan rank have been played by Zen19A in the last 
>12 hours.
>
>Likely, opponents in this strong range will help the
>programmers to improve their brainchild further. 
>
>Ingo.
>___
>Computer-go mailing list
>Computer-go@computer-go.org
>http://computer-go.org/mailman/listinfo/computer-go
-- 
Hideki Kato 
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[Computer-go] KGS 8-dan and strong opponents

[Ingo Althöfer]

Hi,

for the first time there is a bot with "stable" 8-dan rank on KGS:
Zen19A, an alternative Zen account.

http://www.gokgs.com/gameArchives.jsp?user=zen19a

Congratulations to the Zen team! 

And an observation:
Already several games against human players with 8-dan 
or 9-dan rank have been played by Zen19A in the last 
12 hours.

Likely, opponents in this strong range will help the
programmers to improve their brainchild further. 

Ingo.
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