2 citations · 4 across the 4 of their papers we have counts for
4 papers
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…
Challenging common bolus advisor for self-monitoring type-I diabetes patients using Reinforcement Learning
Frédéric Logé, Erwan Le Pennec, Habiboulaye Amadou-Boubacar
Patients with diabetes who are self-monitoring have to decide right before each meal how much insulin they should take. A standard bolus advisor exists, but has never actually been…
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…
Clustering and Model Selection via Penalized Likelihood for Different-sized Categorical Data Vectors
Esther Derman, Erwan Le Pennec
In this study, we consider unsupervised clustering of categorical vectors that can be of different size using mixture. We use likelihood maximization to estimate the parameters of…