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 # Numerical Evidence for Sample Efficiency of Model-Based over Model-Free Reinforcement Learning Control of Partial Differential Equations [ECC'24]
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 This repository holds the implementation of our model-based deep reinforcement learning algorithm for the control of partial differential equations (specifically the Kuramoto-Sivashinsky & Burger equations). This work has been presented at the European Control Conference