Surrogate model-based neuroevolution with phenotypic kernels and dynamic input sets considerably increases evaluation efficiency in reinforcement learning tasks.
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Surrogate Models for Enhancing the Efficiency of Neuroevolution in Reinforcement Learning
Surrogate model-based neuroevolution with phenotypic kernels and dynamic input sets considerably increases evaluation efficiency in reinforcement learning tasks.