Pros and Cons of Neuroevolution

Cons
  • It requires a considerable amount of computation.
  • Most people want to solve a particular problem. Neuroevolution might get you to a creative solution but could lead you astray before it puts you on the right path.

Pros

  • Other AI, like reinforcement learning, can lead to short-terms gains, but will eventually get stuck in a rut. Random exploration in the steppingstone principle can beat the best algorithms. 
  • Open-ended exploration might lead to human-level intelligence via paths we would never have anticipated.

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