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Loris Di Natale

Stable Linear Subspace Identification: A Machine Learning Approach

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Nov 20, 2023
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Data-driven adaptive building thermal controller tuning with constraints: A primal-dual contextual Bayesian optimization approach

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Oct 01, 2023
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Towards Scalable Physically Consistent Neural Networks: an Application to Data-driven Multi-zone Thermal Building Models

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Dec 23, 2022
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Efficient Reinforcement Learning (ERL): Targeted Exploration Through Action Saturation

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Nov 30, 2022
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Physically Consistent Neural ODEs for Learning Multi-Physics Systems

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Nov 11, 2022
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Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning

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May 31, 2022
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Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control

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Mar 10, 2022
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Physically Consistent Neural Networks for building thermal modeling: theory and analysis

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Dec 06, 2021
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