Loris Di Natale

15 papers Journal 11Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	SIMBa: System Identification Methods Leveraging Backpropagation. IEEE Trans. Control. Syst. Technol. Loris Di Natale, Muhammad Zakwan, Philipp Heer, Giancarlo Ferrari-Trecate, Colin Neil Jones
2024	—	`conf`	Stable Linear Subspace Identification: A Machine Learning Approach. ECC Loris Di Natale, Muhammad Zakwan, Bratislav Svetozarevic, Philipp Heer, Giancarlo Ferrari-Trecate, Colin N. Jones
2023	—	`conf`	Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple Rules. CDC Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones
2023	J	`jnl`	Data-driven adaptive building thermal controller tuning with constraints: A primal-dual contextual Bayesian optimization approach. CoRR Wenjie Xu, Bratislav Svetozarevic, Loris Di Natale, Philipp Heer, Colin N. Jones
2023	J	`jnl`	SIMBa: System Identification Methods leveraging Backpropagation. CoRR Loris Di Natale, Muhammad Zakwan, Philipp Heer, Giancarlo Ferrari-Trecate, Colin N. Jones
2023	J	`jnl`	Stable Linear Subspace Identification: A Machine Learning Approach. CoRR Loris Di Natale, Muhammad Zakwan, Bratislav Svetozarevic, Philipp Heer, Giancarlo Ferrari-Trecate, Colin N. Jones
2022	J	`jnl`	Efficient Reinforcement Learning (ERL): Targeted Exploration Through Action Saturation. CoRR Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones
2022	—	`conf`	Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning. CDC Loris Di Natale, Ying Zhao Lian, Emilio Tanowe Maddalena, Jicheng Shi, Colin N. Jones
2022	J	`jnl`	Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning. CoRR Loris Di Natale, Ying Zhao Lian, Emilio Tanowe Maddalena, Jicheng Shi, Colin N. Jones
2022	—	`conf`	Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control. ICCA Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones
2022	J	`jnl`	Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control. CoRR Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones
2022	J	`jnl`	Physically Consistent Neural ODEs for Learning Multi-Physics Systems. CoRR Muhammad Zakwan, Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones, Giancarlo Ferrari-Trecate
2022	J	`jnl`	Towards Scalable Physically Consistent Neural Networks: an Application to Data-driven Multi-zone Thermal Building Models. CoRR Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin Neil Jones
2021	J	`jnl`	Data-driven MIMO control of room temperature and bidirectional EV charging using deep reinforcement learning: simulation and experiments. CoRR Bratislav Svetozarevic, Christian Baumann, Simon Muntwiler, Loris Di Natale, Philipp Heer, Melanie N. Zeilinger
2021	J	`jnl`	Physically Consistent Neural Networks for building thermal modeling: theory and analysis. CoRR Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones