Sample-efficient deep reinforcement learning for continuous control

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Sample-efficient deep reinforcement learning for continuous control

Gu, S. (2019). Sample-efficient deep reinforcement learning for continuous control. PhD Thesis, University of Cambridge, Cambridge.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0007-0D9C-C Version Permalink: https://hdl.handle.net/21.11116/0000-0009-CAD2-6

Genre: Thesis

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Creators:
Gu, Shixiang¹, Author

Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647

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Free keywords: Abt. Schölkopf

Abstract: -

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Language(s): eng - English

Dates: Accepted: 2019-07

Publication Status: Accepted / In Press

Pages: XXIV, 87

Publishing info: Cambridge : University of Cambridge

Table of Contents: -

Rev. Type: -

Identifiers: DOI: 10.17863/CAM.45105

Degree: PhD

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