Hello,
Has anyone experimented with libego parameters? What would be
reasonable starting point on configurations on 19x19 board? I am
considering using GnuGo to give the moves MC is allowed to simulate
for first couple of plies in simulation and then pure random. Just to
see if it makes any sense
On Jan 23, 2008 7:39 PM, Jason House [EMAIL PROTECTED] wrote:
On Wed, 2008-01-23 at 18:57 -0500, Eric Boesch wrote:
I am curious if any of those of you who have heavy-playout programs
would find a benefit from the following modification:
exp_param = sqrt(0.2); // sqrt(2) times the
Eric Boesch
This is probably massive overkill, but one of the most
successful techniques for multi-parameter optimization
is Taguchi methods.
http://en.wikipedia.org/wiki/Taguchi_methods
However, in my experience, starting with the decisions
that make the biggest difference, and then adding
i recommend:
http://www.research.att.com/~njas/gosset/index.html
s.
- Original Message
From: [EMAIL PROTECTED] [EMAIL PROTECTED]
To: computer-go computer-go@computer-go.org
Sent: Saturday, January 26, 2008 2:35:01 PM
Subject: Re: [computer-go] 19x19 MC improvement
Eric Boesch
This
By the way, does anybody know of any nifty tools or heuristics for
efficient probabilistic multi-parameter optimization? In other words,
like multi-dimensional optimization, except instead of your function
returning a deterministic value, it returns the result of a Bernoulli
trial, and the
