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Fault Tolerant Control combining Reinforcement Learning and Model-based Control *.

, , and . SysTol, page 31-36. IEEE, (2021)

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Novel Leak Location Approach in Water Distribution Networks with Zone Clustering and Classification., , and . MCPR, volume 11524 of Lecture Notes in Computer Science, page 37-46. Springer, (2019)Anomaly Detection for Multi-Zone Buildings Using Cluster-Trained LSTM Autoencoders., , , and . CoDIT, page 752-757. IEEE, (2023)Monitoring Multimode Continuous Processes - A Data-Driven Approach, , and . Springer, (2021)Performance-Weighed Policy Sampling for Meta-Reinforcement Learning., , and . CoRR, (2020)An Unsupervised Approach to Leak Detection and Location in Water Distribution Networks., , , and . Int. J. Appl. Math. Comput. Sci., 28 (2): 283-295 (2018)Leak Zone Localization in Water Distribution Networks using a Topology-based Differential Evolution Algorithm., , , and . SysTol, page 175-180. IEEE, (2021)Transfer reinforcement learning for fault-tolerant control by re-using optimal policies., , and . SysTol, page 25-30. IEEE, (2021)A Novel Hybrid Approach for Fault-Tolerant Control of UAVs based on Robust Reinforcement Learning., , and . ICRA, page 10719-10725. IEEE, (2021)MARVEL: Multi-Agent Reinforcement-Learning for Large-Scale Variable Speed Limits., , , , , , and . CoRR, (2023)Data-Driven Learning Control for Building Energy Management., , and . ACC, page 2571-2577. IEEE, (2022)