say your ann is set up with its outputs controlling game mechanics (like
camera movement, character animation) im not sure what the inputs would
be, but inputs would be important in making it smart.
so the idea is, you sorta hand animate a 3d game movie and backpropagate
it through the neural network, to achieve some kind of natural looking
hand placed action.
has anyone ever made a game this way before? its a new kind of game
creator system. (even non programmers could use it)
Youd have to sit there handmaking the animation for ages, and train it
for a while, i imagine, but it really could be worth the effort, there
would be no games like it.
I could use some help deciding what outputs (and more importantly,
inputs) would be important to include.
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I did some research into a game creator that worked on AI
I used genetic algos and hand drawn graphics, there were two layers to
the ai. The evaluation function played the game.
The trouble was that it was so slow, a single generation took 2 hours.
backprop would be faster than evolution… but still youd have to
handplace all the animation, so thats what would take a while.
Thanks for the respectful reply, I got little from gamedev.net - if you
come up with something new, you are often put down for it.
Backprop (and any other gradient descend method) works only for smooth
fitness function with one global minimum, while genetic algorithms can
be used for more general case. I think motion control falls into second
category so backprop can’t help much.
You can help with multiple minima/non-smooth functions by using
annealing - basically, you dynamically tune the learning rate over time,
so you’re not taking infinitessimal steps but instead jumping around on
a sort of coarse-grained landscape to start.
There’s a fast version of genetic algorithms called
‘CMA-ES’ that uses the
statistics of the fitness/variable correlations to get huge speedups in
low-dimensional problems (N=100 or so) that might be good enough to do
this kind of thing in reasonable timescales, but you’re really going to
have to make sure that your problem fits into that N=100.