View source for Talk:Flattener

Has anyone made a targeting system capable of hitting a good sandboxFlattener (Perhaps a top bot with surfing disabled and flattener enabled by default) better than top bots hit strong random movement? This would be a good start for hitting combined surfing and flattening, which is driving hitrates of top guns into the ground ( Below 10, sometimes even 9%).

What makes you think you could predict a curve flattening movement better than a "random" movement? A good curve flattening movement is a lot like random with a forced even distribution, like Java's Math.random(). It should always have a higher entropy than a naive random, I think.

It seems like its theoretically possible to get a higher hitrate (without simulating their movement) because you know that they will move away from where they have moved before, while in random movement there shouldn't be a correlation between where they have moved and where they do move.

Knowing where they won't be increases your average hitrate over time, by limiting the places they could be. Imagine a targeting system which fires outside of their MEA vs one that always fires in the MEA.

Oh for sure. My most sophisticated attempts at fancy Anti-Surfer guns were along these lines - assume they will go to the safest reachable point on all of the waves in the air at fire time, using precise prediction to figure out reachable points, then restrict my choice of firing angles to the range of remaining reachable points.

What I really want is a mask to apply to the whole range of firing angles, deduced from the probability of all possible enemy movements as they surf the waves in the air. I tried a very (very!) crude version of this once in Dookious.

Oh, and I don't mean to sound too discouraging! I actually think of improvements in Anti-Surfer targeting as one of the remaining frontiers in Robocode, and probably one of the nearer ones. I've spent quite a lot of time trying Anti-Surfer stuff myself, including stuff that precise predicts enemy movements or penalizes places they've been hit. But the best I've come up with in Diamond is still just a simple fast-decaying / well-tuned gun.

I think a major problem is that hitting flatteners and surfers is two different things (Despite them often being combined). When running top bots (Diamond vs DrussGT), I notice that once their flatteners are enabled, they often can't decide to use main or anti surfer targeting systems. To me, it seems like an optimized gun for hitting surfers (Fast data decay, fire where they have gone in the past) is not the same as an optimized gun for hitting flattened movement (??? perhaps data decay rate that is opposite of theirs? perhaps a gun that fires at the lowest point of their estimated movement curve in the instead of the highest?), and advanced bots now just have a main + anti surfer gun, with no effective method of dealing with flatteners, let alone flattening combined with surfing. I can imagine the problem would only get worse if bots started having a % rating for their flattener, instead of a simply on or off, allowing to vary how much flattening they do.

YersiniaPestis has a non-binary flattener, like you describe. He is pretty tough, and I do like the idea. I have several thresholds in Diamond's surf stats, as well, not just 2 modes.

But I don't think some thrashing between guns is a big deal - I certainly don't read that much into it. You have fairly little data, two very strong guns, and an enemy that's constantly changing its movement profile, so a lot of fluctuation doesn't seem surprising. I don't see anything inherently bad about thrashing, either. I still think it's the right move to choose the highest rated gun at any given point, even if it changes every shot.

I don't know, I just don't see a strong distinction between targeting vs flatteners or surfers. It's all the same algorithms and using information that's available to both of you. But I'd love to see some innovation vs either or both. :-)