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cs.LG2025
Optimizing Operation Recipes with Reinforcement Learning for Safe and Interpretable Control of Chemical Processes
Dean Brandner, Sergio Lucia
Optimal operation of chemical processes is vital for energy, resource, and cost savings in chemical engineering. The problem of optimal operation can be tackled with reinforcement…
cs.LG2024
Self-Supervised Learning of Iterative Solvers for Constrained Optimization
Lukas Lüken, Sergio Lucia
The real-time solution of parametric optimization problems is critical for applications that demand high accuracy under tight real-time constraints, such as model predictive contro…
cs.LG2024★ 1 cited
Reinforced Model Predictive Control via Trust-Region Quasi-Newton Policy Optimization
Dean Brandner, Sergio Lucia
Model predictive control can optimally deal with nonlinear systems under consideration of constraints. The control performance depends on the model accuracy and the prediction hori…