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Is Social Learning More Than Parameter Tuning?

  • Social learning enables multiple robots to share learned experiences while completing a task. The literature offers examples where robots trained with social learning reach a higher performance compared to their individual learning counterparts. No explanation has been advanced for that observation. In this research, we present experimental results suggesting that a lack of tuning of the parameters in social learning experiments could be the cause. In other words: the better the parameter settings are tuned, the less social learning can improve the system performance.

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Author:Jacqueline Heinerman, Jörg Stork, Margarita Alejandra Rebolledo Coy, Julien Hubert, A.E. Eiben, Thomas Bartz-BeielsteinGND, Evert Haasdijk
Series (Serial Number):CIplus (5/2017)
Document Type:Conference Proceeding
Year of Completion:2017
Release Date:2017/09/07
Tag:Evolutionary Robotics; Neural Networks; Parameter Tuning; Social Learning
Dewey Decimal Classification:000 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik
Open Access:Open Access
Licence (German):License LogoCreative Commons - Namensnennung, Nicht kommerziell, Keine Bearbeitung