[Computer-go] Mastering the Game of Go with Deep Neural Networks and Tree Search

David Fotland fotland at smart-games.com
Wed Jan 27 23:15:59 PST 2016


Google’s breakthrough is just as impactful as the invention of MCTS.  Congratulations to the team.  It’s a huge leap for computer go, but more importantly it shows that DNN can be applied to many other difficult problems.

 

I just added an answer.  I don’t think anyone will try to exactly replicate it, but a year from now there should be several strong programs using very similar techniques, with similar strength.

 

An interesting question is, who has integrated or is integrating a DNN into their go program?  I’m working on it.  I know there are several others.

 

David

 

From: Computer-go [mailto:computer-go-bounces at computer-go.org] On Behalf Of Jason Li
Sent: Wednesday, January 27, 2016 3:14 PM
To: computer-go at computer-go.org
Subject: Re: [Computer-go] Mastering the Game of Go with Deep Neural Networks and Tree Search

 

Congratulations to Aja!

 

A question to the community. Is anyone going to replicate the experimental results?

 

https://www.quora.com/Is-anyone-replicating-the-experimental-results-of-the-human-level-Go-player-published-by-Google-Deepmind-in-Nature-in-January-2016?

 

Jason

 

On Thu, Jan 28, 2016 at 9:26 AM, Erik van der Werf <erikvanderwerf at gmail.com> wrote:

Wow, excellent results, congratulations Aja & team!

 

I'm surprised to see nothing explicitly on decomposing into subgames (e.g. for semeai). I always thought some kind of adaptive decomposition would be needed to reach pro-strength... I guess you must have looked into this; does this mean that the networks have learnt to do it by themselves? Or perhaps they play in a way that simply avoids their weaknesses? 

 

Would be interesting to see a demonstration that the networks have learned the semeai rules through reinforcement learning / self-play :-) 

 

Best,

Erik

 

 

On Wed, Jan 27, 2016 at 7:46 PM, Aja Huang <ajahuang at google.com> wrote:

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 our paper, published in Nature today. The paper and all the games can be found here: 

 

http://www.deepmind.com/alpha-go.html

 

AlphaGo will be competing in a match against Lee Sedol in Seoul, this March, to see whether we finally have a Go program that is stronger than any human! 

 

Aja

 

PS I am very busy preparing AlphaGo for the match, so apologies in advance if I cannot respond to all questions about AlphaGo.

 

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