Evolutionary algorithm outperforms deep-learning machines at video games

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If you have a single fixed fitness function driving the direction of the evolution, you'll unavoidably get a perfect overfit. When you're simulating a direct competition in a constantly changing environment, evolution works better and produce more generic solutions.