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by hdjdbdirbrbtv
368 days ago
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So the issue with genetic algorithms / genetic programming is you need a good way to handle the path the population takes. It is more reinforcement than y = f(x) for deep learning f() is what the nn is computing. X and y is the training data. Finding a good scoring algorithm is hard as it is so easy for a GA to cheat... Source: experience |
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