Probabilistic Recurrent State-Space Models

Doerr, Andreas; Daniel, Christian; Schiegg, Martin; Nguyen-Tuong, Duy; Schaal, Stefan; Toussaint, Marc; Trimpe, Sebastian

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Probabilistic Recurrent State-Space Models

Doerr, A., Daniel, C., Schiegg, M., Nguyen-Tuong, D., Schaal, S., Toussaint, M., et al. (2018). Probabilistic Recurrent State-Space Models. In J. Dy, & A. Krause (Eds.), Proceedings of the 35th International Conference on Machine Learning (pp. 1280-1289). PMLR. Retrieved from http://proceedings.mlr.press/v80/doerr18a.html.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0003-720A-2 Version Permalink: https://hdl.handle.net/21.11116/0000-000A-DFD6-A

Genre: Conference Paper

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Creators:
Doerr, Andreas¹, Author
Daniel, Christian², Author
Schiegg, Martin², Author
Nguyen-Tuong, Duy², Author
Schaal, Stefan¹, Author
Toussaint, Marc², Author
Trimpe, Sebastian¹, Author

Affiliations:
1Dept. Autonomous Motion, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497646
2External Organizations, ou_persistent22

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Free keywords: Abt. Schaal

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Language(s): eng - English

Dates: Published Online: 2018

Publication Status: Published online

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Identifiers: BibTex Citekey: doerr2018probabilistic
URI: http://proceedings.mlr.press/v80/doerr18a.html

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Title: 35th International Conference on Machine Learning (ICML 2018)

Place of Event: Stockholm

Start-/End Date: 2018-07-10 - 2018-07-15

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Title: Proceedings of the 35th International Conference on Machine Learning

Source Genre: Proceedings

Creator(s):
Dy, Jennifer¹, Editor
Krause, Andreas¹, Editor

Affiliations:
1 External Organizations, ou_persistent22

Publ. Info: PMLR

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1280 - 1289 Identifier: URI: http://proceedings.mlr.press/v80/

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Title: Proceedings of Machine Learning Research (PMLR)

Source Genre: Series

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Pages: - Volume / Issue: 80 Sequence Number: - Start / End Page: - Identifier: ISSN: 2640-3498