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Loris Di Natale
Publication Activity (10 Years)
Years Active: 2021-2023
Publications (10 Years): 13
Top Topics
Reinforcement Learning
Top Venues
CoRR
CDC
ICCA
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Publications
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Loris Di Natale
,
Bratislav Svetozarevic
,
Philipp Heer
,
Colin N. Jones
Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple Rules.
CDC
(2023)
Loris Di Natale
,
Muhammad Zakwan
,
Bratislav Svetozarevic
,
Philipp Heer
,
Giancarlo Ferrari-Trecate
,
Colin N. Jones
Stable Linear Subspace Identification: A Machine Learning Approach.
CoRR
(2023)
Loris Di Natale
,
Muhammad Zakwan
,
Philipp Heer
,
Giancarlo Ferrari-Trecate
,
Colin N. Jones
SIMBa: System Identification Methods leveraging Backpropagation.
CoRR
(2023)
Wenjie Xu
,
Bratislav Svetozarevic
,
Loris Di Natale
,
Philipp Heer
,
Colin N. Jones
Data-driven adaptive building thermal controller tuning with constraints: A primal-dual contextual Bayesian optimization approach.
CoRR
(2023)
Loris Di Natale
,
Ying Zhao Lian
,
Emilio Tanowe Maddalena
,
Jicheng Shi
,
Colin N. Jones
Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning.
CDC
(2022)
Muhammad Zakwan
,
Loris Di Natale
,
Bratislav Svetozarevic
,
Philipp Heer
,
Colin N. Jones
,
Giancarlo Ferrari-Trecate
Physically Consistent Neural ODEs for Learning Multi-Physics Systems.
CoRR
(2022)
Loris Di Natale
,
Bratislav Svetozarevic
,
Philipp Heer
,
Colin N. Jones
Efficient Reinforcement Learning (ERL): Targeted Exploration Through Action Saturation.
CoRR
(2022)
Loris Di Natale
,
Bratislav Svetozarevic
,
Philipp Heer
,
Colin Neil Jones
Towards Scalable Physically Consistent Neural Networks: an Application to Data-driven Multi-zone Thermal Building Models.
CoRR
(2022)
Loris Di Natale
,
Bratislav Svetozarevic
,
Philipp Heer
,
Colin N. Jones
Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control.
ICCA
(2022)
Loris Di Natale
,
Bratislav Svetozarevic
,
Philipp Heer
,
Colin N. Jones
Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control.
CoRR
(2022)
Loris Di Natale
,
Ying Zhao Lian
,
Emilio Tanowe Maddalena
,
Jicheng Shi
,
Colin N. Jones
Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning.
CoRR
(2022)
B. Svetozarevic
,
C. Baumann
,
Simon Muntwiler
,
Loris Di Natale
,
Philipp Heer
,
Melanie N. Zeilinger
Data-driven MIMO control of room temperature and bidirectional EV charging using deep reinforcement learning: simulation and experiments.
CoRR
(2021)
Loris Di Natale
,
Bratislav Svetozarevic
,
Philipp Heer
,
Colin N. Jones
Physically Consistent Neural Networks for building thermal modeling: theory and analysis.
CoRR
(2021)