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[gnugo-devel] machine learning in gnugo
From: |
Thomas Nelson |
Subject: |
[gnugo-devel] machine learning in gnugo |
Date: |
Tue, 8 May 2007 10:07:32 -0500 (CDT) |
Hi, my name's Tom, and I'm a computer science undergraduate at UT Austin.
I'm doing a research project on machine learning in go. My plan is to
choose ~10 patterns in the gnugo patterns database, and optimize the
shape() values for the patterns using a kind of gradient descent learning.
My question is, which patterns should I choose? Ideally, I want to choose
the 10 that will have the biggest effect on gnugo's performance. They
should be used pretty often, and preferably early in the game. My current
plan was just to play a lot of games, and use
gnugo -l [filename] -L [move number] -t -a -w
on each move to see which patterns get selected most often. But maybe
someone knows a particular group or type of pattern that needs more
attention, or a more efficient way to search for important patterns?
Thanks for your time.
Tom
- [gnugo-devel] machine learning in gnugo,
Thomas Nelson <=