Contact: sureli@isae-supaero.fr
Members
Researchers
- Emmanuel Rachelson — ISAE-SUPAERO professor, SuReLI founder — Reinforcement Learning, Optimization
- Dennis Wilson — ISAE-SUPAERO associate professor — Evolutionary Computation, Machine Learning
Researchers we work with
- Alain Haït — ISAE-SUPAERO professor — Industrial Engineering, Mathematical Programming
- Caroline Chanel — ISAE-SUPAERO associate professor — MDP planning, Neuroergonomy
- Nicolas Drougard — ISAE-SUPAERO associate professor — MDP planning, Neuroergonomy
- Michael Bauerheim — ISAE-SUPAERO associate professor — Computational Fluid Dynamics
- Thierry Jardin — ISAE-SUPAERO associate professor — Computational Fluid Dynamics
- Elise Vareilles — ISAE-SUPAERO professor —
Industrial Engineering, Constraint Programming
- Thomas Oberlin — ISAE-SUPAERO associate professor — Computer Vision, Machine Learning
- Carlos Aguilar — ISAE-SUPAERO professor — Cryptography, Cybersecurity
- Alexandre Albore — ONERA senior researcher — Robotics
- Charles Lesire — ONERA senior researcher — Robotics
- Xavier Olive — ONERA researcher — Machine Learning, Air Traffic Management
- Daniel Delahaye — ENAC professor — Optimization, Air Traffic Management
- Marcel Mongeau — ENAC professor — Optimization, Air Traffic Management
- Catherine Mancel — ENAC associate professor — Optimization, Air Traffic Management
- Hervé Luga — Université Toulouse 1 Professor — Artificial life
- Timothée Masquelier — CNRS CerCo senior researcher — Computational neuroscience
Current Post-docs, PhD students and interns
- Hedwin Bonnavaud (PhD 2021-, C. Chanel, C. Lesire, A. Albore, E. Rachelson) — Planning and RL for robot tasks
- Paul-Antoine Le Tolguenec (PhD 2021-, D. Wilson, E. Rachelson) — Autopilot testing with RL
- Adil Zoutine (PhD 2021-, E. Rachelson) — Robustness to model uncertainties in RL
- Erwan Lecarpentier (Post-doc 2021-, D. Wilson) — Image-based CGP for Atari
- Antoine Stevan (PhD track student 2020-, E. Rachelson) — Emergence of communication for RL coordination
- Giorgio Angelotti (PhD 2020-, N. Drougard, C. Chanel) — Offline Learning for Planning
- Mahmoud Al Najar (PhD 2020-, D. Wilson) — Coastal Bathymetry & Topography using Deep Learning
- Kaitlin Maile (PhD 2020-, D. Wilson, H. Luga) — Neural Architecture Search
- Paul Templier (intern 2020, PhD 2020-, D. Wilson, E. Rachelson) — Bio-inspired Learning for Artificial Neural Networks
- Brice Martin (PhD 2020-, M. Bauerheim, T. Jardin, E. Rachelson) — Aircraft control with RL
- Mathis Clautrier (PhD track student 2019-, D. Wilson) — Eye-tracking and RL saliency maps
- Sandrine Berger (Post-doc 2019-, M. Bauerheim, T. Jardin, E. Rachelson) — Fluid flow control with RL
- David Bertoin (PhD 2019-, S. Gerchinovitz, E. Rachelson) — Generalization in RL
- Valentin Guillet (PhD 2019-, C. Aguilar, E. Rachelson) — Transfer and Neural Consolidation in RL
- Thibault Lahire (PhD track student 2020-2021, M. Geist, E. Rachelson) — Importance sampling in Reinforcement Learning.
- Ilyass Haloui (PhD 2019-2021, C. Chanel, A. Haït) — Predictive Maintenance via Sequential Decision Making
- François Lamothe (PhD 2018-2021, A. Haït, E. Rachelson) — Unsplittable Multicommodity flows
- Sana Ikli (PhD 2017-2021, C. Mancel, M. Mongeau, X. Olive, E. Rachelson) — Coupling OR and ML methods for Aircraft Landing Scheduling
- Erwan Lecarpentier (PhD 2016-2020, C. Lesire-Cabaniols, G. Infantes, E. Rachelson) — Reinforcement learning in non-stationary environments
- Luca Mossina (PhD 2016-2020, D. Delahaye, E. Rachelson) — Applications of Machine Learning to the Resolution of Recurrent Combinatorial Optimization Problems.
- Ankit Chiplunkar (PhD 2015-2017, J. Morlier, E. Rachelson) — Incorporating Prior Information from Engineering Design into Gaussian Process Regression, applications to Aeronautical Engineering.
- 2020-2021 interns: C. Cuny, E. Chigot (Evolutionary RL), H. Sanchez (RL saliency maps), R. Garsuault (Robustness to model uncertainties).
- 2019-2020 interns: P. Carfantan (Prioritized Experience Replay in Soft Actor Critic algorithms), Andrea Arroyo-Ramos (Fluid control with RL), P.-L. Saint (Progressive Neural Networks), L. Hervier (co-evolution of agents and environments), T. Cormier (reward-modulated STDP), Paul Templier (Neuroevolution for RL), Pablo Miralles, Vincent Coyette (Domain Adaptation in DuckieTown).
- 2018-2019 interns: Andres Quintela-Quintanilla (robustness and transfer in Deep RL), L. Bertomier, V. Guillet (Neural Consolidation in RL), I. Bouayad (Why is Rainbow sometimes underperforming?), G. Marugan-Rubio (iBoat stall avoidance), E. Dupont (off-policy critics for DDPG).
- 2017-2018 interns: N. Megel, A. Bonet-Munoz, T. Karch (iBoat stall avoidance), F. Brulport, J.-M. Belley, P. Barde (iBoat navigation planning), Augustin Parjadis (Deep TD(lambda)), P. Planeix (Exoskeleton control with Deep RL), J.-J. Simeoni (robustness and transfer in Deep RL), V. Guillet (Deep RL agents).
- 2016-2017 interns: L. Becq, A. Bufort, H. Akhmouch, T. Le Minh, E. Herlaut, N. El Jaafari, S. Ganapathi-Raju, R. Madelaine, E. Lecarpentier (Learning to fly), L. Mossina (Multi-label Naive Bayes Classification).