APM?

Thank you!

I was tuning against AS and magically a firing wave flattener with time-since-decel and all that stuff, besides usual attributes, gave me a good result. Only thing a did different from my past attempts was to build *really* separate sets of trees. The flattener stats and the hit stats were on a single set of trees in the past. Now they are distributed over two sets, each one with a bunch of trees. Then I normalize the logged buffers (dividing by max) and weight them by something like 60%/40%. This helped me to give a proper weight to the flattener. Not sure, but I suppose you already do this.

The hard thing now will be to keep this good results without being hurt against simpler bots. I hope it is just a matter of tweaking the movement enough so that the flattener threshold is not hit that often. And well, close-rangers, I can handle them separately in the future.

Well I think the only noticeable difference in handling flattener now is that I normalize buffers based on area, instead of max ;) AFAIK Neuromancer is also doing this, although without flattener or multi-trees (but he is dealing with multiple enemies ;) ).

My flattener also uses time-since-decel, as I find my surfers having weakness about that attribute in the past (that is VCS surfers, though).

Btw, are you doing with PMs that well in the past, or just after recent updates? I'm wondering whether flatteners help against PMs ;), since I've been long suffering about flatteners being turned on occasionally against PMs, which hurts.

I was already doing better than ScalarBot, both with the old flattener and with no flattener at all, but yeah, adding the flattener gave a tremendous improvement.

Thanks for that information ;)

After a long time of experiment, I finally think the main difference from bots do good against PMs is not in the surfing algorithm... but the way surfing stats are handled. Maybe I should try some more traditional way before starting innovation... I've been already dropping old surfing stats (which uses 1-nn) since 0.012n1 (and finally got similar performance), now maybe I should start dropping crowd tree views ;) I use three simple views each with 3~5 attributes as main surfing stats now, maybe that's the reason why I got hit from PMs (and the top guns as well) badly.

I always thought strong APM was from lots of temporal attributes. It also makes sense that it would be from a small K size to prevent always dodging the same points and building repeated patterns.

I really tried to drop my trees and use a single one, but I really couldnt figure it out yet. I still use a bunch of trees, one is 1-nn and has higher weight and bigger decay, probably approximating the effect Druss' buffers have, which seems to work nice against PM.