2 citations · 3 across the 6 of their papers we have counts for
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cs.LG2023
Interpretable Meta-Learning of Physical Systems
Matthieu Blanke, Marc Lelarge
Machine learning methods can be a valuable aid in the scientific process, but they need to face challenging settings where data come from inhomogeneous experimental conditions. Rec…
cs.LG2023★ 2 cited
FLEX: an Adaptive Exploration Algorithm for Nonlinear Systems
Matthieu Blanke, Marc Lelarge
Model-based reinforcement learning is a powerful tool, but collecting data to fit an accurate model of the system can be costly. Exploring an unknown environment in a sample-effici…