@inproceedings{HeinermanStorkRebolledoCoyetal.2017, author = {Jacqueline Heinerman and J{\"o}rg Stork and Margarita Alejandra Rebolledo Coy and Julien Hubert and A.E. Eiben and Thomas Bartz-Beielstein and Evert Haasdijk}, title = {Is Social Learning More Than Parameter Tuning?}, url = {https://nbn-resolving.org/urn:nbn:de:hbz:832-cos4-5451}, year = {2017}, abstract = {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.}, language = {en} }