Volltext-Downloads (blau) und Frontdoor-Views (grau)
The search result changed since you submitted your search request. Documents might be displayed in a different sort order.
  • search hit 33 of 148
Back to Result List

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.

Download full text files

Export metadata

Additional Services

Share in Twitter Search Google Scholar

Statistics

frontdoor_oas
Metadaten
Author:Jacqueline Heinerman, Jörg Stork, Margarita Alejandra Rebolledo Coy, Julien Hubert, A.E. Eiben, Thomas Bartz-BeielsteinGND, Evert Haasdijk
URN:urn:nbn:de:hbz:832-cos4-5451
Series (Serial Number):CIplus (5/2017)
Document Type:Conference Proceeding
Language:English
Year of Completion:2017
Release Date:2017/09/07
Tag:Evolutionary Robotics; Neural Networks; Parameter Tuning; Social Learning
Open Access:Open Access
Licence (German):License LogoCreative Commons - Namensnennung, Nicht kommerziell, Keine Bearbeitung