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.
Author: | Jacqueline Heinerman, Jörg Stork, Margarita Alejandra Rebolledo Coy, Julien Hubert, A.E. Eiben, Thomas Bartz-BeielsteinGND, Evert Haasdijk |
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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 |
Dewey Decimal Classification: | 000 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik |
Open Access: | Open Access |
Licence (German): | Creative Commons - Namensnennung, Nicht kommerziell, Keine Bearbeitung |