Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization

Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization

We analyze the efficacy of modern neuro-evolutionary strategies for continuous control optimization. Overall, the results collected on a wide variety of qualitatively different benchmark problems indicate that these methods are generally effective and scale well with respect to the number of paramet...

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Bibliographic Details
Main Authors: Paolo Pagliuca, Nicola Milano, Stefano Nolfi
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-07-01
Series:Frontiers in Robotics and AI
Subjects:
evolutionary strategies
reinforcement learning
continuous control optimization
natural evolutionary strategies
fitness function design
Online Access:https://www.frontiersin.org/article/10.3389/frobt.2020.00098/full

Internet

https://www.frontiersin.org/article/10.3389/frobt.2020.00098/full

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