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Scenario-based Optimal Control for Gaussian Process State Space Models., , and . ECC, page 1386-1392. IEEE, (2018)Learning Stable Stochastic Nonlinear Dynamical Systems., and . ICML, volume 70 of Proceedings of Machine Learning Research, page 3502-3510. PMLR, (2017)Bayesian uncertainty modeling for programming by demonstration., , and . ICRA, page 6428-6434. IEEE, (2017)Dynamic Movement Primitives for cooperative manipulation and synchronized motions., , and . ICRA, page 766-771. IEEE, (2014)Stable Model-based Control with Gaussian Process Regression for Robot Manipulators., , and . CoRR, (2018)Learning stable Gaussian process state space models., , and . ACC, page 1499-1504. IEEE, (2017)Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control., , and . NeurIPS, page 657-667. (2019)Gaussian Process-Based Real-Time Learning for Safety Critical Applications., , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 6055-6064. PMLR, (2021)The Impact of Data on the Stability of Learning-Based Control., , , , and . L4DC, volume 144 of Proceedings of Machine Learning Research, page 623-635. PMLR, (2021)Stable Gaussian Process based Tracking Control of Lagrangian Systems., , , and . CoRR, (2018)