On 7/18/06, Ian Shaw <[EMAIL PROTECTED]> wrote:
> -----Original Message----- > From: Joseph Heled [mailto:[EMAIL PROTECTED] > Sent: 17 July 2006 16:05 > To: Ian Shaw > Cc: bug-gnubg@gnu.org > Subject: Re: [Bug-gnubg] Is it time for Gnubg 0.15? > Re-rolling the position database. > > Hi Ian, > > Yes, it would be great to improve the playing level of gnubg > once more. Here are (yet again) my thoughts and comments. > > The net was not trained from the rollout results, but by > using 2 ply evaluations. The best I could come up with > resulted from the choice which positions to include in the > training set. And for my particular training method, more was > frequently not better. > I've just been reading old archive posts, e.g. http://lists.gnu.org/archive/html/bug-gnubg/2003-11/msg00104.html, and realised that my description was incorrect. I guess I'm a victim of wanting to have a simple explanation to a question, but the reality is much more complex. So how exactly were the rollout results used? Are they just used as a benchmark for trying out new neural nets. As such, can we safely assume that they are still accurate enough, three years on, to be the gold standard? If so, I would be wasting my time re-rolling them. Should I just drop the idea?
While originally I thought they would make a good training base, that turned out not to be the case. And yes, there were used as (a very valuable) benchmark. I did some selective re-rolls at the time, and for the purpose of a benchmark there is very little reason to re-roll them.
> My personal view is that to move past the next step we need a > new method to generate an evaluation net. this requires some > thought and research by someone other than me, as I am set in my ways. > I have some ideas, but that's another thread. It's by far the most radical approach, but quite likely the most rewarding, both in terms of playing strength and enjoyable design and implementation.
By far that would be the best use of your time and energy. -Joseph
-- Ian
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