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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
[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>
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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