Difference between revisions of "GP SSM"

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* M.P. Deisenroth, J. Peters, C.E. Rasmussen, [[Media:ApproximateDPwithGaussianProcesses.pdf | Approximate Dynamic Programming with Gaussian Processes]]
 
* M.P. Deisenroth, J. Peters, C.E. Rasmussen, [[Media:ApproximateDPwithGaussianProcesses.pdf | Approximate Dynamic Programming with Gaussian Processes]]
 
* R. Frigola, F. Lindsten, T.B. Schon, C.E. Rasmussen, [[Media:IdentificationGPSSMwithParticalEM.pdf | Identification of Gaussian Process State-Space Models with Particle Stochastic Approximation EM]]
 
* R. Frigola, F. Lindsten, T.B. Schon, C.E. Rasmussen, [[Media:IdentificationGPSSMwithParticalEM.pdf | Identification of Gaussian Process State-Space Models with Particle Stochastic Approximation EM]]
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* T. Beckers, J. Umlauft, and S. Hirsche, [[Media:ModelBasedGPRControl.pdf | Stable Model-Based Control with Gaussian Process Regression for Robot Manipulators]],
 
* T. Beckers, J. Umlauft, and S. Hirsche, [[Media:ModelBasedGPRControl.pdf | Stable Model-Based Control with Gaussian Process Regression for Robot Manipulators]],
 
* A. Marco, P. Hennig, S. Schaal, S. Trimpe, [[Media:DesignLQRKernels.pdf | On the Design of LQR Kernels for Efficient Controller Learning]], ''arXiv:1709.07089v1''
 
* A. Marco, P. Hennig, S. Schaal, S. Trimpe, [[Media:DesignLQRKernels.pdf | On the Design of LQR Kernels for Efficient Controller Learning]], ''arXiv:1709.07089v1''

Revision as of 01:26, 8 January 2018

This page gathers references and materials related to the study of "Gaussian Process (GP) State Space Models (SSM)."

Basic Gaussian Process Info

  • Rasmussen and Williams

Papers on GP-SSMs


Web Links