Theo Vincent

Théo Vincent joined the Intelligent Autonomous Systems Group as a PhD student in December 2022. He is currently working on value-based methods in offline settings. He is part of the group SAIROL and works under the supervision of Boris Belousov and Jan Peters.

During his studies, Théo focused on Deep Learning, (3D) Computer Vision and Reinforcement Learning. He graduated from MVA, a double master degree program in collaboration with ENS ParisSaclay and Ponts ParisTech. He did his master thesis at IAS on value-based methods in offline settings supersived by Carlo D’Eramo.

Prior to his PhD, Théo worked in a Parisian research group supervised by Rémi Carmigniani to track professional swimmers on video clips using Deep Learning. He then joined Signality, a Swedish start-up led by Mikael Rousson, to investigate the problem of finding an homography linking a football pitch to a camera. He also worked in the group of Chirag Patel at Harvard Medical School to understand how our organs are aging.

Currently offered theses:

• Master thesis: Adapt your network: Investigating neural network’s architecture in Q-learning methods.