Using previous GFs as dimensions

Interesting. I think you should definitely test against RM, because surfers generally don't like anything with bullet waves, and simple movers are pretty easy to hit. Also, you might want to start with the basics (distance, velocity, relative heading, acceleration...) before you get into data decay and experimental dimensions. Good luck.

Don't worry! I am actively optimizing my more "normal" gun using standard predictors. What bots would you recommend as good test bots with strong RM? Tmservo its just a 6 dimensional KNN, 5 are lastGFs normalized to 0-1, last one is sqrt(shots)* .5. I haven't added any kernel density stuff to this tree, I plan to try that.

just drussgt, diamond, gilgalad, tomcat, xandercat, waveserpent, nene, gressuffurd,

Those are not bots with Random Movement as Straw asked for.

I'd suggest you use the reference bots from the Targeting Challenge RM, because they give you a good variety of random movements, and have been thoroughly tested against before, so the 'expected' result is fairly accurately known. You may wish to use RoboRunner to automate testing against that set as well.

Yeah, like Rednaxela said, the reference bots would work well. I'm curious, are you planning to have these two guns in a VG array, or are you just experimenting in parallel?

Not sure yet, could use a VG array, or might get results from two trees and do density calculations on the results from both.