Solving Nonlinear Continuous State-Action-Observation POMDPs for Mechanical 
Systems with Gaussian Noise

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Solving Nonlinear Continuous State-Action-Observation POMDPs for Mechanical Systems with Gaussian Noise

Deisenroth, M., & Peters, J. (2012). Solving Nonlinear Continuous State-Action-Observation POMDPs for Mechanical Systems with Gaussian Noise.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000E-FE5B-2 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-000E-FE5C-F

Genre: Conference Paper

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Creators:
Deisenroth, MP¹, Author
Peters, J¹, 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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Dates: Date issued: 2012

Publication Status: Issued

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Identifiers: BibTex Citekey: DeisenrothP2012

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Title: The 10th European Workshop on Reinforcement Learning (EWRL 2012)

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