Personnal Page

Seurin Mathieu

Phd in Deep Reinforcement Learning of Université de Lille

Assistant Professor at École Supérieur Léonard de Vinci

and De Vinci Research Center (DVRC)

Hi, I'm Mathieu SEURIN

I obtained my P.h.D in 2021 working on Deep Reinforcement Learning. I did a Master's Degree in Machine Learning, Big Data and Knowledge Representation (DAC) at the french Université Pierre et Marie Curie.

I was supervised by Pietquin Olivier (Google Brain) and Preux Phillipe (team SequeL at CRIStAL/INRIA) and the thesis is available here

I'm now a Research Assistant at ESILV (École Supérieur d’Ingénieur Léonard de Vinci), doing research at the De Vinci Research Center (DVRC). I’m currently interested in Food Security, Renewable Energy, Climate Change mitigation and reducing energy consumption using Machine Learning techniques. If you’re interested drop me an email.

Internship offer 2024 (from February 2025 - July 2025) : https://drive.google.com/file/d/1YZI_vPMV0T-TYbbuy3TG7H0LhVwej0tL/view?usp=sharing

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.

Event/Organization

[2019] Co-Organizer of Reinforcement Learning Summer School (RLSS) with other SequeL member https://rlss.inria.fr/

[2018] Co-Organizer of the European Workshop on Reinforcement Learning (EWRL) with Matteo Pirotta, Ronan Fruit and Florian Strub https://ewrl.wordpress.com/ewrl14-2018/

Contact :

[prenom.nom@devinci.fr]

Github

Courses :

I now give courses on Machine Learning, Data processing, Algorithms, Graphs and C# at ESILV.

I gave to the Lille's student in Machine Learning, Python, Data-Processing and Database Management