Emmanuel Rachelson

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:book: My Google Scholar

:sureli: My research team

:isae: My ISAE-SUPAERO webpage

:octocat: My GitHub profile

:isae: Professor in ML/AI at ISAE-SUPAERO,
:sureli: Team leader of the Supaero Reinforcement Learning Initiative (SuReLI),
:aniti: ANITI research chair in Reinforcement Learning.

My research lies in the fields of Reinforcement Learning and Sequential Decision problems, with a broader interest for Machine Learning and Operations Research.
Above all, I like to deeply understand the mechanisms of learning and optimization.
I like inspiring and diverse applications that fuel my research and challenge my comfort zone.

I love teaching and education, but I’m not a big fan of grading.
I like the principle of slow science.


Also, currently:
:sdd: Lecturer in RL at the MVA master program,
:sdd: Founder and head of the Data and Decision Sciences master program at ISAE-SUPAERO,
:isae: Member of the ML, Decision, Optimization research group at ISAE-SUPAERO,
:isae: Elected faculty member of the board at ISAE-SUPAERO,
:isae: ISAE-SUPAERO representative at the Toulouse Maths & CS doctoral school.

Formerly:
:edf: Researcher at EDF R&D,
:isae: Head of the ML, Decision, Optimization research group at ISAE-SUPAERO,
:isae: Co-founder of the Artificial Intelligence and Business Transormation master program.

Occasionally, consulting on ML and optimization topics.

More details here.


:book: ORCID: https://orcid.org/0000-0002-8559-1617
:book: DBLP: https://dblp.org/pid/52/6241
:book: Google Scholar: https://scholar.google.fr/citations?user=KtG9BSgAAAAJ