Very interesting paper!
I have one question. The assumption in your paper is that increasing
the performance of the simulation player will increase the
performance of Monte-Carlo methods that use that simulation player.
However, we found in MoGo that this is not necessarily the case! Do
you think there is some property of your learning algorithm that
makes it particularly suitable for Monte-Carlo methods?
Thanks!
Dave
Date: Thu, 17 May 2007 01:17:55 +0200
From: R?mi Coulom <[EMAIL PROTECTED]>
Subject: [computer-go] Amsterdam 2007 paper
To: computer-go <computer-go@computer-go.org>
Message-ID: <[EMAIL PROTECTED]>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Hi,
I first thought I would keep my ideas secret until the Asmterdam
tournament, but now that I have submitted my paper, I cannot wait to
share it. So, here it is:
http://remi.coulom.free.fr/Amsterdam2007/
Comments and questions are very welcome.
Rémi
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