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> The newly generated child agent is not automatically accepted into the “elite pool” but must prove its worth through rigorous testing. Each agent’s performance, such as the percentage of successfully solved problems,

How is this not a new way of over fitting?



In genetic programming, you do not immediately kill offspring that do not perform well. Tournament selection takes this further by letting the offspring compete with each other in distinct groups before running the world cup and killing the underperformers.

Anyway, it does sound like overfitting the way it is described in this article. It's not clear how they ensure that the paths they explore stay rich.




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