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It's simply because I finally decided to try some kNN instead of random ;) It's still very simple without any kernel density; ) And I'm really excited and expected to see your new bot beating this! :D

Right now it has some fast learning problems like getting beaten against Walls or SpinBot in the first round=). Maybe I'll do some adaptive learning rate.

Yes neural networks are typical experiencing a hard time at the initial ;p How many layers are you using? Would you try using two networks, one fast learning, one deep learning?

It is a perceptron with some pre-processing. I can try deep learning. It may be useful at hitting simple=) movements.

I tested it with some tuning. It can't pass my Anti-Surfer Gun against any sample bot.=(

Have any of you had any success with a DC+NN gun? I got my NN gun working pretty well against surfers and, even though my DC gun is still doing better, I think I can improve it enough to surpass it. But it performs really bad against random movers compared to my anti-random gun, even when I set up more than one NN, like in Gaff. Does that combination make any sense?

Yes it makes sense. I once got +%5.2 APS by getting the sum of Anti-Surfer and Anti-Random weighted by their hit rates. (The old gun was just AS).

Do you use pre-processing in your NN? It can be really helpful.

I now beat SimpleBot with %57 both by Damage and Survival=). Maybe I'll pass you again.

Good result! SimpleBot's movement is not tuned at all (surfing last hit & 1 nearest neighbor gf) and I'm rewriting it ;)

My gun just uses 5 input and movement uses 4 input. I didn't increase the number of features which will increase my performance %100. I will rewrite surfing too.=)

my movement uses just 3 inputs ;) my gun was using just 5 inputs too ;)