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			<subfield code="a">CHAPTER</subfield>
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			<subfield code="a">Calinon_SPRINGER_2019a/IDIAP</subfield>
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			<subfield code="a">Learning Control</subfield>
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			<subfield code="a">Calinon, Sylvain</subfield>
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			<subfield code="a">Lee, D.</subfield>
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		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Vadakkepat, P.</subfield>
			<subfield code="e">Ed.</subfield>
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		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Goswami, A.</subfield>
			<subfield code="e">Ed.</subfield>
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		<datafield tag="856" ind1="4" ind2="0">
			<subfield code="i">EXTERNAL</subfield>
			<subfield code="u">http://publications.idiap.ch/attachments/papers/2018/Calinon_SPRINGER_2018.pdf</subfield>
			<subfield code="x">PUBLIC</subfield>
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		<datafield tag="711" ind1="2" ind2=" ">
			<subfield code="a">Humanoid Robotics: a Reference</subfield>
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		<datafield tag="260" ind1=" " ind2=" ">
			<subfield code="c">2019</subfield>
			<subfield code="b">Springer</subfield>
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		<datafield tag="773" ind1=" " ind2=" ">
			<subfield code="c">1261-1312</subfield>
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			<subfield code="u">https://doi.org/10.1007/978-94-007-7194-9_68-2</subfield>
			<subfield code="z">URL</subfield>
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			<subfield code="a">10.1007/978-94-007-7194-9_68-2</subfield>
			<subfield code="2">doi</subfield>
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		<datafield tag="520" ind1=" " ind2=" ">
			<subfield code="a">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.</subfield>
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