Learning Constrained Dynamics with Gauss Principle adhering Gaussian Processes

23 April 2020

Papers citing "Learning Constrained Dynamics with Gauss Principle adhering Gaussian Processes"

6 / 6 papers shown

Title
Learning Hybrid Dynamics Models With Simulator-Informed Latent States K. Ensinger Sebastian Ziesche Sebastian Trimpe 34 1 0 06 Sep 2023
Physics-Informed Kernel Embeddings: Integrating Prior System Knowledge with Data-Driven Control Adam J. Thorpe Cyrus Neary Franck Djeumou Meeko Oishi Ufuk Topcu 35 7 0 09 Jan 2023
Incorporating Sum Constraints into Multitask Gaussian Processes Philipp Pilar Carl Jidling Thomas B. Schon Niklas Wahlström TPM 21 3 0 03 Feb 2022
Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees Christian Fiedler C. Scherer Sebastian Trimpe 24 15 0 07 May 2021
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression Christian Fiedler C. Scherer Sebastian Trimpe GP 26 65 0 06 May 2021
Manifold Gaussian Processes for Regression Roberto Calandra Jan Peters C. Rasmussen M. Deisenroth 89 271 0 24 Feb 2014