A Physically-Consistent Bayesian Non-Parametric Mixture Model for Dynamical System Learning
Figueroa N, Billard A (2018)
In: 2nd Annual Conference on Robot Learning, CoRL 2018, Zürich, Switzerland, 29-31 October 2018, Proceedings. Billard A, Dragan A, Peters J, Morimoto J (Eds); Proceedings of Machine Learning Research, 87. 927-946.
Konferenzbeitrag
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Autor*in
Figueroa, Nadia;
Billard, Aude
Herausgeber*in
Billard, Aude;
Dragan, Anca;
Peters, Jan;
Morimoto, Jun
Einrichtung
Erscheinungsjahr
2018
Titel des Konferenzbandes
2nd Annual Conference on Robot Learning, CoRL 2018, Zürich, Switzerland, 29-31 October 2018, Proceedings
Serien- oder Zeitschriftentitel
Proceedings of Machine Learning Research
Band
87
Seite(n)
927-946
ISSN
2640-3498
Page URI
https://pub.uni-bielefeld.de/record/2933608
Zitieren
Figueroa N, Billard A. A Physically-Consistent Bayesian Non-Parametric Mixture Model for Dynamical System Learning. In: Billard A, Dragan A, Peters J, Morimoto J, eds. 2nd Annual Conference on Robot Learning, CoRL 2018, Zürich, Switzerland, 29-31 October 2018, Proceedings. Proceedings of Machine Learning Research. Vol 87. 2018: 927-946.
Figueroa, N., & Billard, A. (2018). A Physically-Consistent Bayesian Non-Parametric Mixture Model for Dynamical System Learning. In A. Billard, A. Dragan, J. Peters, & J. Morimoto (Eds.), Proceedings of Machine Learning Research: Vol. 87. 2nd Annual Conference on Robot Learning, CoRL 2018, Zürich, Switzerland, 29-31 October 2018, Proceedings (pp. 927-946).
Figueroa, Nadia, and Billard, Aude. 2018. “A Physically-Consistent Bayesian Non-Parametric Mixture Model for Dynamical System Learning”. In 2nd Annual Conference on Robot Learning, CoRL 2018, Zürich, Switzerland, 29-31 October 2018, Proceedings, ed. Aude Billard, Anca Dragan, Jan Peters, and Jun Morimoto, 87:927-946. Proceedings of Machine Learning Research.
Figueroa, N., and Billard, A. (2018). “A Physically-Consistent Bayesian Non-Parametric Mixture Model for Dynamical System Learning” in 2nd Annual Conference on Robot Learning, CoRL 2018, Zürich, Switzerland, 29-31 October 2018, Proceedings, Billard, A., Dragan, A., Peters, J., and Morimoto, J. eds. Proceedings of Machine Learning Research, vol. 87, 927-946.
Figueroa, N., & Billard, A., 2018. A Physically-Consistent Bayesian Non-Parametric Mixture Model for Dynamical System Learning. In A. Billard, et al., eds. 2nd Annual Conference on Robot Learning, CoRL 2018, Zürich, Switzerland, 29-31 October 2018, Proceedings. Proceedings of Machine Learning Research. no.87 pp. 927-946.
N. Figueroa and A. Billard, “A Physically-Consistent Bayesian Non-Parametric Mixture Model for Dynamical System Learning”, 2nd Annual Conference on Robot Learning, CoRL 2018, Zürich, Switzerland, 29-31 October 2018, Proceedings, A. Billard, et al., eds., Proceedings of Machine Learning Research, vol. 87, 2018, pp.927-946.
Figueroa, N., Billard, A.: A Physically-Consistent Bayesian Non-Parametric Mixture Model for Dynamical System Learning. In: Billard, A., Dragan, A., Peters, J., and Morimoto, J. (eds.) 2nd Annual Conference on Robot Learning, CoRL 2018, Zürich, Switzerland, 29-31 October 2018, Proceedings. Proceedings of Machine Learning Research. 87, p. 927-946. (2018).
Figueroa, Nadia, and Billard, Aude. “A Physically-Consistent Bayesian Non-Parametric Mixture Model for Dynamical System Learning”. 2nd Annual Conference on Robot Learning, CoRL 2018, Zürich, Switzerland, 29-31 October 2018, Proceedings. Ed. Aude Billard, Anca Dragan, Jan Peters, and Jun Morimoto. 2018.Vol. 87. Proceedings of Machine Learning Research. 927-946.
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