Loris Di Natale
According to our database1,
Loris Di Natale
authored at least 11 papers
between 2021 and 2023.
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Bibliography
2023
Data-driven adaptive building thermal controller tuning with constraints: A primal-dual contextual Bayesian optimization approach.
CoRR, 2023
Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple Rules.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
Towards Scalable Physically Consistent Neural Networks: an Application to Data-driven Multi-zone Thermal Building Models.
CoRR, 2022
Efficient Reinforcement Learning (ERL): Targeted Exploration Through Action Saturation.
CoRR, 2022
Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control.
Proceedings of the 17th IEEE International Conference on Control & Automation, 2022
Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
Physically Consistent Neural Networks for building thermal modeling: theory and analysis.
CoRR, 2021
Data-driven MIMO control of room temperature and bidirectional EV charging using deep reinforcement learning: simulation and experiments.
CoRR, 2021