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Yeah, I do a online mean calculation, so newMean = oldMean*(n/(n+1)) + newScore/(n+1), n++
I've actually thought quite a bit about this, and it all depends what score you're trying to stabilise. If you're trying to stabilise the PL, for instance, you need to run lots of battles for pairings at or near the 50/50 mark. If you're doing Schultz then lots of battles need to go to where a weak bot beat a strong bot. It's all about which battle has the most potential influence.
Yeah, for sure you would focus on different battles to optimize other rankings. I'm not sure I need to add a "focus on win/loss" flag to RoboRunner, since you'd probably just test against your toughest matchups if that's what you were working on. It does support smart battles for all the score types, though (eg survival, bullet damage).
If we do implement this type of smart battle selection in a rumble system, maybe we could have a client side setting for what you're interested in optimizing. =) I guess to start it would just be APS vs win/loss, but it could include Schultz or Vote at some point.
