Section: Bilateral Contracts and Grants with Industry

Bilateral Contracts with Industry

Lelivrescolaire.fr

• Contract with http://Lelivrescolaire.fr; PI: Michal Valko

  Title: Sequential Machine Learning for Adaptive Educational Systems

  Duration: 3 years (Mar 2018 – Feb 2021)

  Abstract: This contract comes along the CIFRE grant on the same topic. Adaptive educational content are technologies which adapt to the difficulties encountered by students. With the rise of digital content in schools, the mass of data coming from education enables but also ask for machine learning methods. Since 2010, Lelivrescolaire.fr has been developing some learning materials for teachers and students through collaborative creation process. For instance, during the school year 2015/2016, students has achieved more than 8 000 000 exercises on its homework platform Afterclasse.fr. Our approach would be based on sequential machine learning: the algorithm learns to recommend some exercises which adapt to students gradually as they answer.

  Participants : Julien Seznec, Michal Valko.

Renault

• Contract with Renault; PI: Philippe Preux

  Title: Control of an autonomous vehicle

  Duration: 3 years (Dec 2017 – Nov 2020)

  Abstract: This contract comes along the CIFRE grant on the same topic. This work is done in collaboration with the NON-A team-project.

  Participants : Édouard Leurent, Odalric-Ambrym Maillard, Philippe Preux.

Critéo

• Contract with “Criteo”; PI: Philippe Preux

  Title: Computational advertizing

  Duration: 3 years (Dec 2017 – Jun 2019)

  Abstract: This contract comes along the CIFRE grant on the same topic. The goal is to investigate reinforcmeent learning and deep learning on the problem of ad selection on the Internet.

  Note: this contract came to its end because the PhD candidate quitted Critéo, hence aborting his PhD studies.

  Participants : Philippe Preux, Kiewan Villatel.

Share My Space

• Contract with “Share My Space”.

  Duration: 6 months

  Participant : Philippe Preux.