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Well, the re-release is showing that 1.95 really was the strongest by a large margin. When I said I had the flattener on, I was actually being imprecise, what I had was one of my "semi-advanced" classifiers being trained with visits and hits and one of my flatteners being trained with only hits. Regardless, I ran some tests this morning that show 1.99.5's gun as being weaker than 1.95. I had previously spent all my time searching for something i broke in the movement when I "fixed" the gun, but I guess I broke something in the gun instead...
My changes to the gun (from Gilgalad's targeting strategy page): Version 1.99.4 is, I think, the first robot to handle virtual waves exactly. After a real wave is fired, the virtuality and bullet power attributes for the real waves are set. Bullet power is a weighted average of the two real waves around the virtual waves (in terms of time). At training time, the waves play through a log of positions with the new bullet power. Attributes, which can depend on bullet power, are calculated only when training and aiming (aiming uses the estimated bullet power).
That should only improve the accuracy if done correctly, right?
