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20112026
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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Showing 2014Show all

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cs.NE2014★ 1 cited

A Proposed Infrastructure for Adding Online Interaction to Any Evolutionary Domain

Paul Szerlip, Kenneth O. Stanley

To address the difficulty of creating online collaborative evolutionary systems, this paper presents a new prototype library called Worldwide Infrastructure for Neuroevolution (WIN…

cs.NE2014

Unsupervised Feature Learning through Divergent Discriminative Feature Accumulation

Paul A. Szerlip, Gregory Morse, Justin K. Pugh +1

Unlike unsupervised approaches such as autoencoders that learn to reconstruct their inputs, this paper introduces an alternative approach to unsupervised feature learning called di…