Posts by Collection

Reinforcement Learning Virtual School

Published: January 01, 2021

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.

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Numerical influence of ReLU’(0) on backpropagation

Published in Neurips, 2021

(David Bertoin, Jérôme Bolte, Sébastien Gerchinovitz, Edouard Pauwels)

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Disentanglement by Cyclic Reconstruction

Published in Preprint, 2021

(David Bertoin, Emmanuel Rachelson)

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Autonomous drone interception with Deep Reinforcement Learning

Published in IJACI-ECAI 2022 Workshop: 12th International Workshop on Agents in Traffic and Transportation, 2022

(David Bertoin, Adrien Gauffriau, Damien Grasset, Jayant Sen Gupta)

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Local Feature Swapping for Generalization in Reinforcement Learning

Published in ICLR, 2022

(David Bertoin, Emmanuel Rachelson)

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Look where you look! Saliency-guided Q-networks for visual RL tasks

Published in Neurips, 2022

(David Bertoin, Adil Zouitine, Mehdi Zouitine, Emmanuel Rachelson)

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Numerical influence of ReLU’(0) on backpropagation

Published: December 06, 2021

Poster session for “Numerical influence of ReLU’(0) on backpropagation”

Local Feature Swapping for Generalization in Reinforcement Learning

Published: April 25, 2022

Poster session for “Local Feature Swapping for Generalization in Reinforcement Learning”

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