Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control

10 March 2022

Papers citing "Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control"

5 / 5 papers shown

Title
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems Truong X. Nghiem Ján Drgoňa Colin N. Jones Zoltán Nagy Roland Schwan ... J. Paulson Andrea Carron M. Zeilinger Wenceslao Shaw-Cortez D. Vrabie PINN AI4CE 32 30 0 24 Jun 2023
Towards Scalable Physically Consistent Neural Networks: an Application to Data-driven Multi-zone Thermal Building Models L. D. Natale B. Svetozarevic Philipp Heer Colin N. Jones AI4CE 21 28 0 23 Dec 2022
Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple Rules L. D. Natale B. Svetozarevic Philipp Heer Colin N. Jones 18 0 0 30 Nov 2022
Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning L. D. Natale Yingzhao Lian E. Maddalena Jicheng Shi Colin N. Jones 14 17 0 31 May 2022
Physically Consistent Neural Networks for building thermal modeling: theory and analysis L. D. Natale B. Svetozarevic Philipp Heer Colin N. Jones PINN AI4CE 57 83 0 06 Dec 2021