Policy Manifold Search: Exploring the Manifold Hypothesis for Diversity-based Neuroevolution

Neuroevolution is an alternative to gradient-based optimisation that has the potential to avoid local minima and allows parallelisation. The main limiting factor is that usually it does not scale well with parameter space dimensionality. Inspired by recent work examining neural network intrinsic dim...

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Veröffentlicht in:	arXiv.org 2021-04
Hauptverfasser:	Rakicevic, Nemanja, Cully, Antoine, Kormushev, Petar
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Computer Science - Neural and Evolutionary Computing Control tasks Density Manifolds (mathematics) Mapping Neural networks Optimization Parameters Policies Representations Searching
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