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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'm not sure what you mean by pre-processing. Can you clarify that?