4 papers
Accelerating Nonlinear MPC by Behavior Cloning with Separated Timescales: Application to Nuclear Reactor Load-Following
Perceval Beja-Battais, Alain Grosset{ê}te, Nicolas Vayatis
Behavior Cloning (BC) of expert controllers for multiscale dynamical systems is challenging: state variables evolving at widely separated timescales induce highly nonlinear couplin…
Structured Representation Learning for Behavior Cloning: How can we learn to safely control a nuclear power plant?
Perceval Beja-Battais, Alain Grosset{ê}te, Nicolas Vayatis
Learned models for industrial control are usually judged by aggregate accuracy, but accuracy at the component level does not guarantee safety once it is embedded in the system it i…
Enhancing Nuclear Reactor Core Simulation through Data-Based Surrogate Models
Perceval Beja-Battais, Alain Grossetête, Nicolas Vayatis
In recent years, there has been an increasing need for Nuclear Power Plants (NPPs) to improve flexibility in order to match the rapid growth of renewable energies. The Operator Ass…
A Pre-Trained Graph-Based Model for Adaptive Sequencing of Educational Documents
Jean Vassoyan, Anan Schütt, Jill-Jênn Vie +3
Massive Open Online Courses (MOOCs) have greatly contributed to making education more accessible. However, many MOOCs maintain a rigid, one-size-fits-all structure that fails to ad…