Sergey Grabkovsky

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Neuroevolution is a useful machine learning approach for problems with limited domain knowledge, but it has not done well with strategic decision-making problems, where the correct action varies sharply as the agent moves across states. Two promising neuroevolution algorithms are NeuroEvolution of Augmenting Topologies (NEAT) and its extension, HyperNEAT.(More)
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