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12/23/2022
Towards Scalable Physically Consistent Neural Networks: an Application to Data-driven Multi-zone Thermal Building Models
With more and more data being collected, data-driven modeling methods ha...
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11/30/2022
Efficient Reinforcement Learning (ERL): Targeted Exploration Through Action Saturation
Reinforcement Learning (RL) generally suffers from poor sample complexit...
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11/11/2022
Physically Consistent Neural ODEs for Learning Multi-Physics Systems
Despite the immense success of neural networks in modeling system dynami...
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05/31/2022
Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning
This manuscript offers the perspective of experimentalists on a number o...
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03/10/2022
Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control
Replacing poorly performing existing controllers with smarter solutions ...
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12/06/2021
