6 citations · 9 across the 4 of their papers we have counts for
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cs.LG2021
ACReL: Adversarial Conditional value-at-risk Reinforcement Learning
M. Godbout, M. Heuillet, S. Chandra +2
In the classical Reinforcement Learning (RL) setting, one aims to find a policy that maximizes its expected return. This objective may be inappropriate in safety-critical domains s…
eess.IV2021★ 3 cited
Predicting Visual Improvement after Macular Hole Surgery: a Cautionary Tale on Deep Learning with Very Limited Data
M. Godbout, A. Lachance, F. Antaki +2
We investigate the potential of machine learning models for the prediction of visual improvement after macular hole surgery from preoperative data (retinal images and clinical feat…