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06/08/2023
Bayesian Optimization of Expensive Nested Grey-Box Functions
We consider the problem of optimizing a grey-box objective function, i.e...
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04/12/2023
Primal-Dual Contextual Bayesian Optimization for Control System Online Optimization with Time-Average Constraints
This paper studies the problem of online performance optimization of con...
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01/28/2023
Violation-Aware Contextual Bayesian Optimization for Controller Performance Optimization with Unmodeled Constraints
We study the problem of performance optimization of closed-loop control ...
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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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11/21/2022
CONFIG: Constrained Efficient Global Optimization for Closed-Loop Control System Optimization with Unmodeled Constraints
In this paper, the CONFIG algorithm, a simple and provably efficient con...
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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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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
Physically Consistent Neural Networks for building thermal modeling: theory and analysis
Due to their high energy intensity, buildings play a major role in the c...
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10/14/2021