Model-Free Trajectory-based Policy Optimization with Monotonic Improvement

Akrour, R.; Abdolmaleki, A.; Abdulsamad, H.; Peters, J; Neumann , G.

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Model-Free Trajectory-based Policy Optimization with Monotonic Improvement

Akrour, R., Abdolmaleki, A., Abdulsamad, H., Peters, J., & Neumann, G. (2018). Model-Free Trajectory-based Policy Optimization with Monotonic Improvement. Journal of Machine Learning Research, 19: 14. Retrieved from http://jmlr.org/papers/v19/17-329.html.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0003-BBCC-5 Version Permalink: https://hdl.handle.net/21.11116/0000-0004-7463-A

Genre: Journal Article

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Creators:
Akrour, R.¹, Author
Abdolmaleki, A.¹, Author
Abdulsamad, H.¹, Author
Peters, J², Author
Neumann , G.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

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Language(s): eng - English

Dates: Published Online: 2018-08Date issued: 2018

Publication Status: Issued

Pages: 25

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Identifiers: URI: http://jmlr.org/papers/v19/17-329.html
URI: https://dl.acm.org/citation.cfm?id=3291139

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Title: Journal of Machine Learning Research

Source Genre: Journal

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Publ. Info: Brookline, MA : Microtome Publishing

Pages: - Volume / Issue: 19 Sequence Number: 14 Start / End Page: - Identifier: ISSN: 1532-4435
CoNE: https://pure.mpg.de/cone/journals/resource/111002212682020