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  Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets

Maeda, G., Koc, O., & Morimoto, J. (2018). Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets. In A. Billard, A. Dragan, J. Peters, & J. Morimoto (Eds.), Proceedings of the 2nd Conference on Robot Learning (pp. 630-640). PMLR. Retrieved from http://proceedings.mlr.press/v87/maeda18a.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0003-8773-3 Version Permalink: https://hdl.handle.net/21.11116/0000-0008-BAE7-2
Genre: Conference Paper

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 Creators:
Maeda, G.1, Author
Koc, O.2, Author           
Morimoto, J.1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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Free keywords: Abt. Schölkopf
 Abstract: -

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Language(s): eng - English
 Dates: 2018
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: MaeKocMor18
URI: http://proceedings.mlr.press/v87/maeda18a
 Degree: -

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Title: 2nd Conference on Robot Learning (CoRL 2018)
Place of Event: Zurich, Switzerland
Start-/End Date: 2018-10-29 - 2018-10-31

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Title: Proceedings of the 2nd Conference on Robot Learning
Source Genre: Proceedings
 Creator(s):
Billard, A.1, Editor
Dragan, A.1, Editor
Peters, J2, 3, Editor           
Morimoto, J.1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
2 Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497646            
3 Dept. Autonomous Motion, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497646            
Publ. Info: PMLR
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 630 - 640 Identifier: URI: http://proceedings.mlr.press/v87/

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Title: Proceedings of Machine Learning Research (PMLR)
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: PMLR
Pages: - Volume / Issue: 87 Sequence Number: - Start / End Page: - Identifier: ISSN: 2640-3498