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@INCOLLECTION{Calinon_SPRINGER_2019a,
author = {Calinon, Sylvain and Lee, D.},
editor = {Vadakkepat, P. and Goswami, A.},
projects = {Idiap},
title = {Learning Control},
booktitle = {Humanoid Robotics: a Reference},
year = {2019},
pages = {1261-1312},
publisher = {Springer},
url = {https://doi.org/10.1007/978-94-007-7194-9_68-2},
doi = {10.1007/978-94-007-7194-9_68-2},
abstract = {This chapter presents an overview of learning approaches for the acquisition of controllers and movement skills in humanoid robots. The term learning control refers to the process of acquiring a control strategy to achieve a task. While the definition is in some cases restrained to trial-and-error learning, we present here learning control in a broader perspective, with a focus on the representation of skills to be acquired, and on the different learning strategies that can contribute to the acquisition of robust and adaptive controllers for humanoids.},
pdf = {https://publications.idiap.ch/attachments/papers/2018/Calinon_SPRINGER_2018.pdf}
}