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Conference Paper

Automatic LQR Tuning Based on Gaussian Process Global Optimization

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Marco Valle,  Alonso
Dept. Autonomous Motion, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Hennig,  Philipp
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Bohg,  Jeannette
Dept. Autonomous Motion, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Schaal,  Stefan
Dept. Autonomous Motion, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Trimpe,  Sebastian
Dept. Autonomous Motion, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Citation

Marco Valle, A., Hennig, P., Bohg, J., Schaal, S., & Trimpe, S. (2016). Automatic LQR Tuning Based on Gaussian Process Global Optimization. In 2016 IEEE International Conference on Robotics and Automation (ICRA 2016) (pp. 270-277). Piscataway, NJ: IEEE. doi:10.1109/ICRA.2016.7487144.


Cite as: https://hdl.handle.net/11858/00-001M-0000-002D-1D71-D
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