404 citations · 828 across the 20 of their papers we have counts for
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cs.NE2023
Modularity based linkage model for neuroevolution
Yukai Qiao, Marcus Gallagher
Crossover between neural networks is considered disruptive due to the strong functional dependency between connection weights. We propose a modularity-based linkage model at the we…
cs.NE2022★ 1 cited
Towards Understanding the Link Between Modularity and Performance in Neural Networks for Reinforcement Learning
Humphrey Munn, Marcus Gallagher
Modularity has been widely studied as a mechanism to improve the capabilities of neural networks through various techniques such as hand-crafted modular architectures and automatic…