[computer-go] CGOS Monte Carlo Simulations

[Don Dailey]

It will take quite a bit of time for myCtest to converge to it's proper
rating - but if it's close to 1500, which it should be if you wrote it
like the generic version I specified and it's running enough games,  we
should at least see it improve rather quickly.

Or if you think it's right - restart it under a new name such as
myCtest-2   or something like that.

- Don


On Fri, 2006-09-08 at 11:00 -0700, Christoph Birk wrote:
> On Thu, 7 Sep 2006, Don Dailey wrote:
> > A few days ago I posted a Generic Monte Carlo program on CGOS in order
> > to get a baseline on what to expect from a very simple Monte Carlo
> > players.
> 
> I posted a similar program (myCtest) to see if it gains a similar
> ELO rating. The first version had a couple of bugs but instead
> of running the fixed version under a different name I just kept
> the old name ...
> The problem now is that CGOS' rating algorithm is not appropriate
> to handle players with improving strength.
> The K-factor appears to decrease monotonically (fairly quickly)
> to a low value (4?).
> How about making it "dynamical" by allowing the K-factor to increase
> when  a group of unlikely game results show up; e.g. a program wins more 
> than it's "fair" share of games against stronger opponents.
> 
> Thanks for CGOS, it's a great resource!
> Christoph