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Data-Efficient Autotuning With Bayesian Optimization: An Industrial Control Study.

, , , and . IEEE Trans. Control. Syst. Technol., 28 (3): 730-740 (2020)

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Bayesian Optimization in Robot Learning - Automatic Controller Tuning and Sample-Efficient Methods. Tübingen University, Germany, (2020)base-search.net (ftunivtuebing:oai:publikationen.uni-tuebingen.de:10900/104200).Maintenance Reduction of Medical Robotic Manipulators through Automatic Data-Driven Updates of Feedforward Control., , , , and . ETFA, page 1-8. IEEE, (2023)A Bayesian optimization framework for the automatic tuning of MPC-based shared controllers., , , , , , , and . CoRR, (2023)Classified Regression for Bayesian Optimization: Robot Learning with Unknown Penalties., , , and . CoRR, (2019)Industrial experiences with the evolution of a DSL., , and . DSM@SPLASH, page 21-30. ACM, (2021)Out of Distribution Detection via Domain-Informed Gaussian Process State Space Models., , and . CDC, page 5487-5493. IEEE, (2023)Data-Efficient Autotuning With Bayesian Optimization: An Industrial Control Study., , , and . IEEE Trans. Control. Syst. Technol., 28 (3): 730-740 (2020)Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures., , , , and . CoRR, (2020)Robot Learning With Crash Constraints., , , , , and . IEEE Robotics Autom. Lett., 6 (2): 1439-1446 (2021)Data-efficient Auto-tuning with Bayesian Optimization: An Industrial Control Study., , , and . CoRR, (2018)