David Bertoin

David Bertoin

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organizations

Reinforcement Learning Virtual School

Published:

I was part of the 2021 Reinforcement Learning Virtual School’s organizers.
This edition was hosted by the Toulouse AI institute ANITI, with the support of IRT Saint Exupéry, ISAE-SUPAERO, LAAS-CNRS, Université Fédérale Toulouse Midi-Pyrénées.
It was officially sponsored by DeepMind.
We also thank Institut de Mathématiques de Toulouse - Université Toulouse III - Paul Sabatier, Toulouse School of Economics - Université Toulouse I - Capitole.
This virtual event took place in March and April 2021. It gathered 1500 registered participants from 43 different countries. All recordings and class materials that the speakers gave us permission to share can be found on this website.

17th European Workshop on Reinforcement Learning (EWRL 2024)

Published:

The European Workshop on Reinforcement Learning is the gathering hub of the RL research community in Europe and one of the main world-class events in RL. We plan to make the 2024 edition an exciting event for researchers worldwide, both for the presentation of top quality papers, but also as a forum for ample discussion of open problems and future research directions.

portfolio

publications

talks

teaching

Teaching assistant Deep Learning

M.S level, University Paul Sabatier, Master MAPI3, 2019

Practical sessions of the Deep Learning course taught by Pr. François Malgouyres in the context of the Master MAPI3.
Subjects:

  • Backpropagation
  • Convolutional neural networks with keras
  • Transfer learningé
  • Autoencoders

Teaching assistant AI frameworks

M.S level, INSA Toulouse, GMM, 2020

I was teaching assistant for the AI frameworks course taught by Dr.Brendan Guillouet.
Class subjects:

  • Developpement tools for datascience
  • Inroduction to Natural Language Processing
  • Inroduction to Recommender Systems
  • Inroduction to Reinforcement Learning

AI frameworks

M.S level, INSA Toulouse, GMM, 2020

I’m teaching the AI frameworks course which covers various topics that students may encounter in their future professional careers.
Class subjects:

  • Developpement tools for datascience
  • Inroduction to Natural Language Processing
  • Inroduction to Recommender Systems
  • Inroduction to Reinforcement Learning
  • Interpretability in Machine Learning

AI technologies

M.S level, INSA-ENSEEIHT ModIA, 2021

I’m teaching the AI technologies course which covers various topics that students may encounter in their future professional careers.
Class subjects:

  • Developpement tools for datascience
  • Inroduction to Recommender Systems
  • Inroduction to Reinforcement Learning
  • Interpretability in Machine Learning