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eess.SY2025
Survey and Tutorial of Reinforcement Learning Methods in Process Systems Engineering
Maximilian Bloor, Max Mowbray, Ehecatl Antonio Del Rio Chanona +1
Sequential decision making under uncertainty is central to many Process Systems Engineering (PSE) challenges, where traditional methods often face limitations related to controllin…
eess.SY2025
Hierarchical RL-MPC for Demand Response Scheduling
Maximilian Bloor, Ehecatl Antonio Del Rio Chanona, Calvin Tsay
This paper presents a hierarchical framework for demand response optimization in air separation units (ASUs) that combines reinforcement learning (RL) with linear model predictive…