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Re: [gnugo-devel] Research
From: |
Gunnar Farnebäck |
Subject: |
Re: [gnugo-devel] Research |
Date: |
Sun, 21 Nov 2004 20:51:51 +0100 |
User-agent: |
EMH/1.14.1 SEMI/1.14.3 (Ushinoya) FLIM/1.14.2 (Yagi-Nishiguchi) APEL/10.3 Emacs/21.3 (sparc-sun-solaris2.9) MULE/5.0 (SAKAKI) |
Reona wrote:
> I am a Junior at Princeton University looking for a research topic
> on machine learning and Go. I was reading the task list posted on
> the GNUgo and found this to be intersting.
>
> "Fuseki tuning by hand is difficult. People who are interested
> in doing machine learning experiments with GNU Go could try
> working with fuseki. This may be one of the areas with most
> potential for substantial and reasonably quick improvements."
>
> What kind of research has been done,
For publications about computer go you can check this bibliography:
http://www.markus-enzenberger.de/compgo_biblio/compgo_biblio.html
> and what kind of research do you think will be helpful in furthering
> computer go?
If you can find any machine learning approach that gives a
substantially stronger fuseki than what's currently in GNU Go, I think
a lot of people would be interested. We would certainly be at least.
:-)
/Gunnar