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Event-Triggered Learning for Linear Quadratic Control

, , and . IEEE transactions on automatic control, 66 (10): 4485-4498 (2021)
DOI: 10.1109/TAC.2020.3030877

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Sebastian Höpfl University of Stuttgart

MRI based perfusion of rats with 60% PVL, , , and . Dataset, (2024)Related to: Sebastian Höpfl, Mohamed Albadry, Uta Dahmen, Karl-Heinz Herrmann, Eva Marie Kindler, Matthias König, Jürgen Rainer Reichenbach, Hans-Michael Tautenhahn, Weiwei Wei, Wan-Ting Zhao, and Nicole Erika Radde: Bayesian Modelling of Time Series Data (BayModTS) - A FAIR Workflow to Process Sparse and Highly Variable Data.
MRI based perfusion of rats with 60% PVL, , , and . Dataset, (2024)Related to: Sebastian Höpfl, Mohamed Albadry, Uta Dahmen, Karl-Heinz Herrmann, Eva Marie Kindler, Matthias König, Jürgen Rainer Reichenbach, Hans-Michael Tautenhahn, Weiwei Wei, Wan-Ting Zhao, and Nicole Erika Radde: Bayesian Modelling of Time Series Data (BayModTS) - A FAIR Workflow to Process Sparse and Highly Variable Data.Modeling the sphingolipid rheostat under wild-type and hypomorph Hai1a. Dataset, (2024)Bayesian Modeling of Time Series Data (BayModTS). Dataset, (2024)
 

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Minimum Information Exchange in Distributed Systems., , , and . CoRR, (2018)Demo Abstract: Fast Feedback Control and Coordination with Mode Changes for Wireless Cyber-Physical Systems., , , , , and . CoRR, (2019)Data-efficient Auto-tuning with Bayesian Optimization: An Industrial Control Study., , , and . CoRR, (2018)Optimizing Long-term Predictions for Model-based Policy Search., , , , , , and . CoRL, volume 78 of Proceedings of Machine Learning Research, page 227-238. PMLR, (2017)Event-triggered Learning for Linear Quadratic Control., , and . CoRR, (2019)Trajectory-Based Off-Policy Deep Reinforcement Learning., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 1636-1645. PMLR, (2019)Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization., , , , , , and . ICRA, page 1557-1563. IEEE, (2017)Learning-based robust model predictive control with state-dependent uncertainty, , , and . IFAC-PapersOnLine, 51 (20): 442--447 (2018)Task space adaptation via the learning of gait controllers of magnetic soft millirobots, , , , , and . The international journal of robotics research, 40 (12-14): 1331-1351 (2021)Data-driven inference of passivity properties via Gaussian process optimization, , and . 2019 18th European Control Conference (ECC), page 29-35. Piscataway, NJ, IEEE, (2019)