28 citations · 102 across the 9 of their papers we have counts for
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cs.LG2018★ 4 cited
Temporal Difference Learning with Neural Networks - Study of the Leakage Propagation Problem
Hugo Penedones, Damien Vincent, Hartmut Maennel +3
Temporal-Difference learning (TD) [Sutton, 1988] with function approximation can converge to solutions that are worse than those obtained by Monte-Carlo regression, even in the sim…
stat.ML2018★ 24 cited
Gradient Descent Quantizes ReLU Network Features
Hartmut Maennel, Olivier Bousquet, Sylvain Gelly
Deep neural networks are often trained in the over-parametrized regime (i.e. with far more parameters than training examples), and understanding why the training converges to solut…