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20172024
most citedDeep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning

544 citations · 919 across the 7 of their papers we have counts for

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Showing 2020Show all

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cs.NE2020★ 55 cited

Scaling MAP-Elites to Deep Neuroevolution

Cédric Colas, Joost Huizinga, Vashisht Madhavan +1

Quality-Diversity (QD) algorithms, and MAP-Elites (ME) in particular, have proven very useful for a broad range of applications including enabling real robots to recover quickly fr…