1 citations · 1 across the 2 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
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.LG2025
Quasi-Newton Compatible Actor-Critic for Deterministic Policies
Arash Bahari Kordabad, Dean Brandner, Sebastien Gros +2
In this paper, we propose a second-order deterministic actor-critic framework in reinforcement learning that extends the classical deterministic policy gradient method to exploit c…
cs.LG2024
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…