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

544 citations · 2.2k across the 29 of their papers we have counts for

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cs.NE2022★ 4 cited

Evolution through Large Models

Joel Lehman, Jonathan Gordon, Shawn Jain +3

This paper pursues the insight that large language models (LLMs) trained to generate code can vastly improve the effectiveness of mutation operators applied to programs in genetic…