Automated curriculum learning for embodied agents a neuroevolutionary approach

Abstract We demonstrate how the evolutionary training of embodied agents can be extended with a curriculum learning algorithm that automatically selects the environmental conditions in which the evolving agents are evaluated. The environmental conditions are selected to adjust the level of difficult...

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Bibliographic Details
Main Authors: Nicola Milano, Stefano Nolfi
Format: Article
Language:English
Published: Nature Publishing Group 2021-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-88464-5