Phd Student in Deep Reinforcement Learning at Sequel (CRIStAL/Inria Lab in Lille - France)
Hi, I'm Mathieu SEURIN
Currently under the supervision of Pietquin Olivier (Google Brain) and Preux Phillipe (team SequeL at CRIStAL/INRIA), i'll be focusing on Deep Reinforcement Learning applied to dialogue systems during the thesis.
I'm interested in Reinforcement Learning, Deep Learning, Multi-Modal Learning, Multi-goal/task/continual learning, dialog system, Robotics and to another extent, Music.
Publications (Google scholar)
IJCAI'21 : Don't Do What Doesn't Matter : Instrinsic Motivation with Action Usefulness (M. Seurin, F. Strub, P. Preux, O. Pietquin) https://arxiv.org/abs/2105.09992
Interspeech'20 : A Machine of Few Words - Interactive Speaker Recognition with Reinforcement Learning (M. Seurin, F. Strub, P. Preux, O. Pietquin) https://arxiv.org/abs/2008.03127
IJCNN'20 : "I'm sorry Dave, i'm afraid i can't do that" Deep Q-Learning from forbidden action (M. Seurin, P. Preux, O. Pietquin) https://arxiv.org/pdf/1910.02078.pdf
APDRL'20 : HIGhER : Improving instruction following with Hindsight Generation for Experience Replay (G. Cideron*, M. Seurin*, F. Strub, O. Pietquin) https://arxiv.org/abs/1910.09451
IJCNN'19 : Unsupervised state representation learning with robotic priors: a robustness benchmark (T. Lesort*, M. Seurin*, X. Li, N. Díaz Rodríguez, D. Filliat) http://arxiv.org/abs/1709.05185
ECCV'18 : Visual Reasoning with a Multi-hop FiLM Generator (F. Strub, M. Seurin, E. Perez, H. De Vries, J. Mary, P. Preux, A. Courville, O. Pietquin) https://arxiv.org/abs/1808.04446
* = Equal Contribution.
 Co-Organizer of the European Workshop on Reinforcement Learning (EWRL) with Matteo Pirotta, Ronan Fruit and Florian Strub https://ewrl.wordpress.com/ewrl14-2018/