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Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets.

G. Maeda, O. Koc, and J. Morimoto. CoRL, volume 87 of Proceedings of Machine Learning Research, page 630-640. PMLR, (2018)

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Postural optimization for an ergonomic human-robot interaction.B. Busch, G. Maeda, Y. Mollard, M. Demangeat, and M. Lopes. IROS, page 2778-2785. IEEE, (2017)Learning interaction for collaborative tasks with probabilistic movement primitives.G. Maeda, M. Ewerton, R. Lioutikov, H. Amor, J. Peters, and G. Neumann. Humanoids, page 527-534. IEEE, (2014)Demonstration based trajectory optimization for generalizable robot motions.D. Koert, G. Maeda, R. Lioutikov, G. Neumann, and J. Peters. Humanoids, page 515-522. IEEE, (2016)Active Incremental Learning of Robot Movement Primitives.G. Maeda, M. Ewerton, T. Osa, B. Busch, and J. Peters. CoRL, volume 78 of Proceedings of Machine Learning Research, page 37-46. PMLR, (2017)Anticipative Interaction Primitives for Human-Robot Collaboration.G. Maeda, A. Maloo, M. Ewerton, R. Lioutikov, and J. Peters. AAAI Fall Symposia, AAAI Press, (2016)Probabilistic segmentation applied to an assembly task.R. Lioutikov, G. Neumann, G. Maeda, and J. Peters. Humanoids, page 533-540. IEEE, (2015)Learning multiple collaborative tasks with a mixture of Interaction Primitives.M. Ewerton, G. Neumann, R. Lioutikov, H. Amor, J. Peters, and G. Maeda. ICRA, page 1535-1542. IEEE, (2015)Learning Manipulation by Sequencing Motor Primitives with a Two-Armed Robot.R. Lioutikov, O. Kroemer, G. Maeda, and J. Peters. IAS, volume 302 of Advances in Intelligent Systems and Computing, page 1601-1611. Springer, (2014)Learning Coupled Forward-Inverse Models with Combined Prediction Errors.D. Koert, G. Maeda, G. Neumann, and J. Peters. ICRA, page 2433-2439. IEEE, (2018)Movement primitives with multiple phase parameters.M. Ewerton, G. Maeda, G. Neumann, V. Kisner, G. Kollegger, J. Wiemeyer, and J. Peters. ICRA, page 201-206. IEEE, (2016)

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Disambiguation of "Maeda, Guilherme"

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Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets.

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Disambiguation of "Maeda, Guilherme"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets.

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Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets.