2k citations · 6.6k across the 78 of their papers we have counts for
3 papers · 2 filters
Residual Reinforcement Learning from Demonstrations
Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal +2
Residual reinforcement learning (RL) has been proposed as a way to solve challenging robotic tasks by adapting control actions from a conventional feedback controller to maximize a…
GraphiT: Encoding Graph Structure in Transformers
Grégoire Mialon, Dexiong Chen, Margot Selosse +1
We show that viewing graphs as sets of node features and incorporating structural and positional information into a transformer architecture is able to outperform representations l…
Beyond Tikhonov: Faster Learning with Self-Concordant Losses via Iterative Regularization
Gaspard Beugnot, Julien Mairal, Alessandro Rudi
The theory of spectral filtering is a remarkable tool to understand the statistical properties of learning with kernels. For least squares, it allows to derive various regularizati…