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Loris Di Natale

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https://people.epfl.ch/loris.dinatale

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Loris Di Natale

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Fusing Pre-existing Knowledge and Machine Learning for Enhanced Building Thermal Modeling and Control

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

Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple Rules

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

Fusing Pre-existing Knowledge and Machine Learning for Enhanced Building Thermal Modeling and Control

Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple Rules