Publications


High-Dimensional Control Using Generalized Auxiliary Tasks.
(Under Review) arXiv preprint arXiv:1909.11939, 2019.

Paper


Samples Are Useful? Not Always: denoising policy gradient updates using variance explained.
(Under Review) arXiv preprint arXiv:1904.04025, 2019.

Paper


MERL: Multi-Head Reinforcement Learning.
NeurIPS Deep Reinforcement Learning Workshop, 2019.

Paper


Hearables in Hearing Care: Discovering Usage Patterns Through IoT Devices.
International Conference on Universal Access in Human-Computer Interaction, 2017.

Paper

Invited Talks

Deep Reinforcement Learning at Scale
April, 2019
QA and Deep Learning for Language Understanding
November, 2017

Teacher Assistant

Reinforcement Learning - Fall 2019 - MVA - ENS Paris-Saclay

Instructors: Alessandro Lazaric, Matteo Pirotta & Reda Ouhamma

Reinforcement Learning Summer School 2019

Instructors: Felix Berkenkamp, Tristan Cazenave, Ludovic Denoyer, Gabriel Dulac-Arnold, Audrey Durand, Vincent François-Lavet, Matteo Hessel, Emilie Kaufmann, Marc Lanctot, Max Lapan, Alessandro Lazaric, Odalric-Ambrym Maillard, Jérémie Mary, Gerhard Neumann, Guillaume Obozinski, Olivier Pietquin, Bilal Piot, Matteo Pirotta, Bruno Scherrer, Florian Strub, Eleni Vasilaki, Oriol Vinyals