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 | Veröffentlicht | Englisch
 
Download
Es wurde kein Volltext hochgeladen. Nur Publikationsnachweis!
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
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, 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.

Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Suchen in

Google Scholar