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Towards Scalable Physically Consistent Neural Networks: an Application to Data-driven Multi-zone Thermal Building Models., , , and . CoRR, (2022)SIMBa: System Identification Methods leveraging Backpropagation., , , , and . CoRR, (2023)Physically Consistent Neural ODEs for Learning Multi-Physics Systems., , , , , and . CoRR, (2022)Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control., , , and . ICCA, page 698-703. IEEE, (2022)Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple Rules., , , and . CDC, page 2334-2339. IEEE, (2023)Stable Linear Subspace Identification: A Machine Learning Approach., , , , , and . CoRR, (2023)Physically Consistent Neural Networks for building thermal modeling: theory and analysis., , , and . CoRR, (2021)Data-driven MIMO control of room temperature and bidirectional EV charging using deep reinforcement learning: simulation and experiments., , , , , and . CoRR, (2021)Efficient Reinforcement Learning (ERL): Targeted Exploration Through Action Saturation., , , and . CoRR, (2022)Data-driven adaptive building thermal controller tuning with constraints: A primal-dual contextual Bayesian optimization approach., , , , and . CoRR, (2023)