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update members list
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former-members.md

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## Former members
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## Former members (approximate reverse chronological order)
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- [Yifei Zhang]() (intern 2024, E. Rachelson) — Importance sampling in DL and RL
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- [Sébastien Martin]() (intern 2024, E. Rachelson) — Successor measures in RL
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- [Paul Templier](https://templierpaul.github.io/) (intern 2020, PhD 2020-, D. Wilson, E. Rachelson) — Bio-inspired Learning for Artificial Neural Networks
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- [Brice Martin](https://www.linkedin.com/in/brice-martin-b4b0a8155) (PhD 2020-, M. Bauerheim, T. Jardin, E. Rachelson) — Fluid flow control with RL
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- [Giorgio Angelotti](https://scholar.google.com/citations?user=3ypB4l8AAAAJ&hl=it) (PhD 2020-2023, N. Drougard, C. Chanel) — Offline Learning for Planning
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- [Kaitlin Maile](https://k8lion.github.io/) (PhD 2020-2023, D. Wilson, H. Luga) — Neural Architecture Search
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- [David Bertoin](https://davidbert.github.io/) (PhD 2019-2023, S. Gerchinovitz, E. Rachelson) — Generalization in RL
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- Valentin Guillet (PhD 2019-2022, C. Aguilar, E. Rachelson) — Neural network distillation for generalization and transfer in Reinforcement Learning
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- [Valentin Guillet]() (PhD 2019-2022, C. Aguilar, E. Rachelson) — Neural network distillation for generalization and transfer in Reinforcement Learning
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- Sandrine Berger (Post-doc 2019-2021, M. Bauerheim, T. Jardin, E. Rachelson) — Fluid flow control with RL
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- [Erwan Lecarpentier](https://erwanlecarpentier.github.io/) (Post-doc 2021-2022, D. Wilson) — Image-based CGP for Atari
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- Antoine Stevan (PhD track student 2020-2021, E. Rachelson) — Emergence of communication for RL coordination
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- Mathis Clautrier (PhD track student 2019-2021, D. Wilson) — Eye-tracking and RL saliency maps
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- Thibault Lahire (PhD track student 2020-2021, M. Geist, E. Rachelson) — Importance sampling in Reinforcement Learning
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- [Antoine Stevan]() (PhD track student 2020-2021, E. Rachelson) — Emergence of communication for RL coordination
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- [Mathis Clautrier]() (PhD track student 2019-2021, D. Wilson) — Eye-tracking and RL saliency maps
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- [Thibault Lahire]() (PhD track student 2020-2021, M. Geist, E. Rachelson) — Importance sampling in Reinforcement Learning
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- Ilyass Haloui (PhD 2019-2021, C. Chanel, A. Haït) — Predictive Maintenance via Sequential Decision Making
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- François Lamothe (PhD 2018-2021, A. Haït, E. Rachelson) — Unsplittable Multicommodity flows
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- Sana Ikli (PhD 2017-2021, C. Mancel, M. Mongeau, X. Olive, E. Rachelson) — Coupling OR and ML methods for Aircraft Landing Scheduling

index.md

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## People
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SuReLI is led by [Emmanuel Rachelson](https://personnel.isae-supaero.fr/emmanuel-rachelson/), with the collaboration of
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[Dennis Wilson](https://people.isae-supaero.fr/dennis-wilson?lang=en) — ISAE-SUPAERO associate professor — Evolutionary Computation, Machine Learning
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[David Bertoin](https://davidbert.github.io/) — IRT Saint Exupery researcher — Deep Learning
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Giuseppe Ferraro — ISAE-SUPAERO lab engineer
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SuReLI is led by [Emmanuel Rachelson](https://personnel.isae-supaero.fr/emmanuel-rachelson/), with the participation of
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<details>
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<summary>and a long list of other collaborators (click to unfold below).</summary>
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<summary>SuReLI is led by [Emmanuel Rachelson](https://personnel.isae-supaero.fr/emmanuel-rachelson/), with the participation of a long list of collaborators (click to unfold below).</summary>
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<a href="https://people.isae-supaero.fr/dennis-wilson?lang=en">Dennis Wilson</a> — ISAE-SUPAERO associate professor — Evolutionary Computation, Machine Learning <br />
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<a href="https://davidbert.github.io/">David Bertoin</a> — INSA Toulouse associate professor — Deep Learning <br />
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<a href="https://people.isae-supaero.fr/thomas-oberlin/">Thomas Oberlin</a> — ISAE-SUPAERO associate professor — Computer Vision, Machine Learning <br />
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<a href="https://people.isae-supaero.fr/caroline-chanel/">Caroline Chanel</a> — ISAE-SUPAERO associate professor — MDP planning, Neuroergonomy <br />
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<a href="">Nicolas Drougard</a> — ISAE-SUPAERO associate professor — MDP planning, Neuroergonomy <br />
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<a href="https://people.isae-supaero.fr/alain-hait/">Alain Haït</a> — ISAE-SUPAERO professor — Industrial Eng., Mathematical Programming<br />
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<a href="https://people.isae-supaero.fr/michael-bauerheim/?lang=en">Michael Bauerheim</a> — ISAE-SUPAERO associate professor — Computational Fluid Dynamics <br />
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<a href="https://personnel.isae-supaero.fr/thierry-jardin/">Thierry Jardin</a> — ISAE-SUPAERO associate professor — Computational Fluid Dynamics <br />
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<a href="https://people.isae-supaero.fr/elise-vareilles/">Elise Vareilles</a> — ISAE-SUPAERO professor —
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Industrial Eng., Constraint Programming <br />
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<a href="https://people.isae-supaero.fr/thomas-oberlin/">Thomas Oberlin</a> — ISAE-SUPAERO associate professor — Computer Vision, Machine Learning <br />
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<a href="https://scholar.google.fr/citations?hl=fr&user=jfSYshIAAAAJ">Carlos Aguilar</a> — ISAE-SUPAERO professor — Cryptography, Cybersecurity <br />
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<a href="https://www.linkedin.com/in/alexandre-albore-5622b51/?originalSubdomain=fr">Alexandre Albore</a> — ONERA senior researcher — Robotics <br />
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<a href="https://sites.google.com/view/charles-lesire">Charles Lesire</a> — ONERA senior researcher — Robotics <br />
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<a href="https://www.xoolive.org/">Xavier Olive</a> — ONERA researcher — Machine Learning, Air Traffic Management <br />
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<a href="http://recherche.enac.fr/~delahaye/">Daniel Delahaye</a> — ENAC professor — Optimization, Air Traffic Management <br />
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<a href="http://recherche.enac.fr/~mongeau/wp/">Marcel Mongeau</a> — ENAC professor — Optimization, Air Traffic Management <br />
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<a href="https://cv.archives-ouvertes.fr/catherinemancel">Catherine Mancel</a> — ENAC associate professor — Optimization, Air Traffic Management <br />
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<a href="https://www.ut-capitole.fr/m-herve-luga--229143.kjsp">Hervé Luga</a> — Université Toulouse 1 Professor — Artificial life <br />
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<a href="https://cerco.cnrs.fr/pagesp/tim/">Timothée Masquelier</a> — CNRS CerCo senior researcher — Computational neuroscience <br />
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<a href="https://cedric.cnam.fr/~kedadsis/">Safia Kedad-Sidhoum</a> — CNAM professor — Operations Research <br />
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</details>
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<br />
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Current Post-docs (:scientist:), PhD students (:student:) and interns (:technologist:):
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:technologist: [Yifei Zhang]() (intern 2024, E. Rachelson) — Importance sampling in DL and RL
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:technologist: [Sébastien Martin]() (intern 2024, E. Rachelson) — Successor measures in RL
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:technologist: [Guillaume Levy]() (intern 2025, E. Rachelson) — Model-based RL
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:student: [Thomas Delliaux]() (PhD 2023-, E. Rachelson) — Representations in RL
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:student: [Alexandre Bertin]() (PhD 2023-, V. Pancaldi) — Dynamic treatment regimes for tumor micro-environments
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:student: [Paul Strang](https://www.linkedin.com/in/paul-strang-362754150/) (PhD 2022-, S. Kedad-Sidhoum, Z. Ales, E. Rachelson) — Solving repeated combinatorial optimization problems with machine learning
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:student: [Hedwin Bonnavaud](https://personnel.isae-supaero.fr/hedwin-bonnavaud/) (PhD 2021-, C. Chanel, C. Lesire, A. Albore, E. Rachelson) — Planning and RL for robot tasks
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:student: [Paul-Antoine Le Tolguenec](https://www.linkedin.com/in/paul-antoine-le-tolguenec-128b4018a) (PhD 2021-, D. Wilson, E. Rachelson) — Autopilot testing with RL
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:student: [Adil Zoutine](https://boring-guy.sh/) (PhD 2021-, E. Rachelson) — Robustness to model uncertainties in RL
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:student: [Mehdi Zouitine](https://mehdi-zouitine.netlify.app/) (PhD 2021-, A. Lagnoux, C. Pellegrini, E. Rachelson), RL for heterogeneous space observation missions planning
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:student: [Paul Templier](https://templierpaul.github.io/) (intern 2020, PhD 2020-, D. Wilson, E. Rachelson) — Bio-inspired Learning for Artificial Neural Networks
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:student: [Brice Martin](https://www.linkedin.com/in/brice-martin-b4b0a8155) (PhD 2020-, M. Bauerheim, T. Jardin, E. Rachelson) — Fluid flow control with RL
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The "former members" list has grown quite long over time and can be found [here](former-members.html).
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