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cs.LG2023
Towards Minimax Optimality of Model-based Robust Reinforcement Learning
Pierre Clavier, Erwan Le Pennec, Matthieu Geist
We study the sample complexity of obtaining an -optimal policy in \emph{Robust} discounted Markov Decision Processes (RMDPs), given only access to a generative model of the nomi…
cs.LG2018★ 2 cited
A Model-Based Reinforcement Learning Approach for a Rare Disease Diagnostic Task
Rémi Besson, Erwan Le Pennec, Stéphanie Allassonnière +3
In this work, we present our various contributions to the objective of building a decision support tool for the diagnosis of rare diseases. Our goal is to achieve a state of knowle…