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Multi-level Monte Carlo training of neural operators
Operator learning is a rapidly growing field that aims to approximate nonlinear operators related to partial differential equations …
James Rowbottom, Stefania Fresca, Pietro Lio, Carola-Bibiane Schönlieb, Nicolas Boullé
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HypeRL: Parameter-informed reinforcement learning for parametric PDEs
In this work, we devise a new, general-purpose reinforcement learning strategy for the optimal control of parametric partial …
Niccolo Botteghi, Stefania Fresca, Mengwu Guo, Andrea Manzoni
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