Robot Learning

Peters, J; Tedrake, R; Roy, N; Morimoto, J

doi:10.1007/978-0-387-30164-8_732

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Robot Learning

Peters, J., Tedrake, R., Roy, N., & Morimoto, J. (2011). Robot Learning. In C. Sammut, & G. Webb (Eds.), Encyclopedia of Machine Learning (2010 edition, pp. 865-869). New York, NY, USA: Springer.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-BCE4-2 Version Permalink: https://hdl.handle.net/21.11116/0000-0002-0ECA-C

Genre: Book Chapter

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https://link.springer.com/content/pdf/10.1007%2F978-0-387-30164-8_732.pdf (Publisher version) Open Access status unknown

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Creators:
Peters, J^{1, 2}, Author
Tedrake, R, Author
Roy, N, Author
Morimoto, J, Author

Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794

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Abstract: Robot learning consists of a multitude of machine learning approaches, particularly reinforcement learning, inverse reinforcement learning and regression methods. These methods have been adapted sufficiently to domain to achieve real-time learning in complex robot systems such as helicopters, flapping-wing flight, legged robots, anthropomorphic arms, and humanoid robots.

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Dates: Date issued: 2011-01

Publication Status: Issued

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Identifiers: DOI: 10.1007/978-0-387-30164-8_732
BibTex Citekey: 6229

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Title: Encyclopedia of Machine Learning

Source Genre: Book

Creator(s):
Sammut, C, Editor
Webb, GI, Editor

Affiliations:
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Publ. Info: New York, NY, USA : Springer, 2010 edition

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 865 - 869 Identifier: ISBN: 978-0-387-30768-8