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Structure-Preserving Learning Using Gaussian Processes and Variational Integrators.

, , , , и . L4DC, том 168 из Proceedings of Machine Learning Research, стр. 1150-1162. PMLR, (2022)

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Alexandre Darmoise

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Parameter Optimization for Learning-based Control of Control-Affine Systems., , и . L4DC, том 120 из Proceedings of Machine Learning Research, стр. 465-475. PMLR, (2020)Backstepping for Partially Unknown Nonlinear Systems Using Gaussian Processes., и . IEEE Control. Syst. Lett., 3 (2): 416-421 (2019)Gaussian Process-based Stochastic Model Predictive Control for Overtaking in Autonomous Racing., , , , и . CoRR, (2021)Structure-Preserving Learning Using Gaussian Processes and Variational Integrators., , , , и . L4DC, том 168 из Proceedings of Machine Learning Research, стр. 1150-1162. PMLR, (2022)Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications., , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 2609-2624. PMLR, (2022)An OPC UA-based Energy Management Platform for Multi-Energy Prosumers in Districts., , , , и . ISGT Europe, стр. 1-5. IEEE, (2019)How Training Data Impacts Performance in Learning-based Control., , , и . CoRR, (2020)How Training Data Impacts Performance in Learning-Based Control., , , и . IEEE Control. Syst. Lett., 5 (3): 905-910 (2021)Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications., , и . CoRR, (2021)Dext-Gen: Dexterous Grasping in Sparse Reward Environments with Full Orientation Control., , , , и . CoRR, (2022)