[computer-go] Rating Drift

2009-04-21 Thread sheppardco
Not using a new login after significant changes leads to some issue? with both rating schrmes. It helps you and everyone else. Pebbles learns from every game it plays. So I can't agree; drift is inherent. Do you mind sharing what pebbles does? UCT+RAVE? Any other enhancements? It is UCT+RAVE,

Re: [computer-go] Rating Drift

2009-04-21 Thread Christoph Birk
On Tue, 21 Apr 2009, sheppar...@aol.com wrote: Pebbles learns from every game it plays. So I can't agree; drift is inherent. But since you had bugs in the earlier version, how do you know, without restarting it after bug-fixes how much of the drift is from the learning part and how much from

Re: [computer-go] Rating Drift

2009-04-21 Thread Christoph Birk
On Tue, 21 Apr 2009, Jason House wrote: AMAF and RAVE are the same thing. The MoGo team pioneered use of AMAF but called it RAVE because of their paper's target audience. I always thought them to be the application of the same heuristic at a different time. AMAF is usually applied at the end

[computer-go] Rating Drift

2009-04-20 Thread sheppardco
At the moment, Pebbles is creating a huge drift. Brian - CGOS requires us to use new names on the server each time we change our bots. It computes the strength using all games (heavilly biased with the results of the first 100 games)? This is basically my first working version. Its rating

Re: [computer-go] Rating Drift

2009-04-20 Thread Jason House
On Apr 20, 2009, at 6:11 PM, sheppar...@aol.com wrote: At the moment, Pebbles is creating a huge drift. Brian - CGOS requires us to use new names on the server each time we change our bots. It computes the strength using all games (heavilly biased with the results of the first 100 games)

Re: [computer-go] Rating Drift

2009-04-20 Thread Don Dailey
I recall reading about an Elo system that had better adaptation to players whose rating changes. It was called Glicko-2. Here is a link: http://en.wikipedia.org/wiki/Glicko_rating_system This would be a very poor rating system for CGOS. He basically recommends giving much higher K factors