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Aug 2 '15 at 14:30 comment added danijar The problem is more that to learn something useful, you need a large neural net which takes a lot of computation power. If you have a small net, it is cheap to train like you said, but has no chance to learn sophisticated behavior. Another problem I see is that you need a huge amount of training examples for ML, so you can't train during game play since it would take way too long for the enemies to become clever. On the other hand, reinforcement Q-learning looks like a good technique for that. A trick would only work once against this AI. I'm not sure whether games have used that though.
Aug 2 '15 at 9:12 history edited Kylotan CC BY-SA 3.0
Edit for accuracy given the passage of time
Apr 19 '11 at 7:34 comment added tenpn +1 for the domain knowledge. Also don't discount the business case: Weeks of programmer time to create and tune and maintain a racing line NN could be less cost effective than a simple max tool to lay a spline and a few days of designer time.
Sep 9 '10 at 10:38 comment added Kylotan @Joe - yeah, I love GAs myself. I think they're quite an effective way of exploring a problem space in a way that is quite intuitive to the person tweaking the algorithm. I have also used them for real-time decision making but it's hard to argue that they were more efficient or more effective than the alternatives.
Sep 6 '10 at 20:58 comment added wkerslake I've used GA to tune AI driver variables. But as you mentioned this was done offline with a tool to generate the tuning data. The game didn't ship with active GA, just the numbers that had been derived during development.
Sep 6 '10 at 15:05 comment added user744 Outside of games GAs have been immensely successful at coming up with esoteric solutions to engineering problems, e.g. Dr. Adrian Thompson's early work on genetic circuits resulting in "useless" subcircuits that affected the flux in such a way to make the rest work. The problem is that effective esoteric solutions are not valuable in games as in engineering. The really hard problem of game AI is to make the AI have a comprehensible strategy, not merely play well.
Sep 6 '10 at 14:16 history answered Kylotan CC BY-SA 2.5