Good Jump
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.
- For example you have two attributes x, y
- Use some formula on it.
- For example input = {|x|, |0.5 - x|, |1 - x|, |y|, |0.5 - y|, |1 - y|}
- Give it to the Neural Network
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Return to Thread:Talk:SimpleBot/Good Jump/reply (10).
Yes of course you can get a good score against surfers with an only NN. After only tuning against Shadow I got a %74.2 score against him.
- I don't know what type of pre-processing you use but mine uses gaussian function instead of abs as above. Maybe you should try it.
- Remove some data and try it again. Some data slows down NN learning.
- Change your training process. For example don't train your NN when enemy doesn't have any waves to surf.
- Try to find an error in your NN. ColdBreath is the fixed version of Havoc(116th) whose backpropogation was wrong.
- By the way congrats with Roborio. Really High PWIN.
