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Probabilistic Recurrent State-Space Models.

A. Doerr, C. Daniel, M. Schiegg, D. Nguyen-Tuong, S. Schaal, M. Toussaint, and S. Trimpe. ICML, volume 80 of Proceedings of Machine Learning Research, page 1279-1288. PMLR, (2018)

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Sebastian Friedl University of Stuttgart

Communication extension for cloud-based machine control of simulated robot processesF. Kretschmer, S. Friedl, A. Lechler, and A. Verl. 2016 IEEE International Conference on Industrial Technology (ICIT), page 54-58. (March 2016)

Sebastian Brandhofer University of Stuttgart

Sebastian Haunss

Dr. Sebastian Rojek University of Stuttgart

Sebastian Lippold University of Stuttgart

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Data-efficient Auto-tuning with Bayesian Optimization: An Industrial Control Study.M. Neumann-Brosig, A. Marco, D. Schwarzmann, and S. Trimpe. CoRR, (2018)Demo Abstract: Fast Feedback Control and Coordination with Mode Changes for Wireless Cyber-Physical Systems.F. Mager, D. Baumann, R. Jacob, L. Thiele, S. Trimpe, and M. Zimmerling. CoRR, (2019)Minimum Information Exchange in Distributed Systems.F. Solowjow, A. Mehrjou, B. Schölkopf, and S. Trimpe. CoRR, (2018)Optimizing Long-term Predictions for Model-based Policy Search.A. Doerr, C. Daniel, D. Nguyen-Tuong, A. Marco, S. Schaal, M. Toussaint, and S. Trimpe. CoRL, volume 78 of Proceedings of Machine Learning Research, page 227-238. PMLR, (2017)Trajectory-Based Off-Policy Deep Reinforcement Learning.A. Doerr, M. Volpp, M. Toussaint, S. Trimpe, and C. Daniel. 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.A. Marco, F. Berkenkamp, P. Hennig, A. Schoellig, A. Krause, S. Schaal, and S. Trimpe. ICRA, page 1557-1563. IEEE, (2017)Event-triggered Learning for Linear Quadratic Control.H. Schlüter, F. Solowjow, and S. Trimpe. CoRR, (2019)Learning an Approximate Model Predictive Controller With GuaranteesM. Hertneck, J. Köhler, S. Trimpe, and F. Allgöwer. IEEE control systems letters, 2 (3): 543-548 (2018)Data-driven inference of passivity properties via Gaussian process optimizationA. Romer, S. Trimpe, and F. Allgöwer. 2019 18th European Control Conference (ECC), page 29-35. Piscataway, NJ, IEEE, (2019)Learning-based robust model predictive control with state-dependent uncertaintyR. Soloperto, M. Müller, S. Trimpe, and F. Allgöwer. IFAC-PapersOnLine, 51 (20): 442--447 (2018)