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Safe Contextual Bayesian Optimization for Sustainable Room Temperature PID Control Tuning.

, , , , и . IJCAI, стр. 5850-5856. ijcai.org, (2019)

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Safe Contextual Bayesian Optimization for Sustainable Room Temperature PID Control Tuning., , , , и . IJCAI, стр. 5850-5856. ijcai.org, (2019)Control of low-inertia power grids: A model reduction approach., , и . CDC, стр. 5708-5713. IEEE, (2017)Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning., , и . NeurIPS, (2020)Logistic Q-Learning., , , и . AISTATS, том 130 из Proceedings of Machine Learning Research, стр. 3610-3618. PMLR, (2021)Online Variance Reduction with Mixtures., , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 705-714. PMLR, (2019)Adaptive Sampling for Stochastic Risk-Averse Learning., , , и . NeurIPS, (2020)Learning Stabilizing Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory., , , и . L4DC, том 144 из Proceedings of Machine Learning Research, стр. 664-676. PMLR, (2021)Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning., , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 2254-2264. PMLR, (2021)Safe Reinforcement Learning via Confidence-Based Filters., , , и . CDC, стр. 3409-3415. IEEE, (2022)Structured Variational Inference in Partially Observable UnstableGaussian Process State Space Models., , , и . L4DC, том 120 из Proceedings of Machine Learning Research, стр. 147-157. PMLR, (2020)