Emmanuel Rachelson is a professor of Machine Learning and Reinforcement Learning at ISAE-SUPAERO with nine years of focused experience leading research and graduate programs in data and decision sciences. He founded and heads the Supaero Reinforcement Learning Initiative (SuReLI), bridging theoretical advances in Markov Decision Processes with practical applications in aerospace and energy operations. His work spans simulation-based RL, sampling-efficient algorithms and optimization for sequential decision problems, with a track record of steering curriculum and research groups. Based in Toulouse, he combines academic leadership with hands-on research, and in a less expected vein pursues paragliding, reflecting a taste for risk-aware decision making beyond the lab.
9 years of coding experience
10 years of employment as a software developer
Grande Ecole Engineering diploma, Aeronautics and Space, Grande Ecole Engineering diploma, Aeronautics and Space at Ecole nationale supérieure de l'Aéronautique et de l'Espace
MSc, Automatic Control Systems, MSc, Automatic Control Systems at Université Paul Sabatier Toulouse III
Contributions:34 commits, 5 PRs, 27 pushes in 2 years
reinforcement-learning
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