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20132026
most citedDeep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning

544 citations · 1.7k across the 27 of their papers we have counts for

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Showing 2016Show all

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cs.AI2016★ 4 cited

Using Indirect Encoding of Multiple Brains to Produce Multimodal Behavior

Jacob Schrum, Joel Lehman, Sebastian Risi

An important challenge in neuroevolution is to evolve complex neural networks with multiple modes of behavior. Indirect encodings can potentially answer this challenge. Yet in prac…