Hello! I recently completed my PhD in Reinforcement Learning at Université Paris-Saclay, where I worked on Learning-based Control of Dynamical Systems with applications in Computational Fluid Dynamics. My research was supervised by Anne Vilnat, Onofrio Semeraro, and Lionel Mathelin. My PhD thesis is available here.
Before, I was a research intern at Inria TAU, where I worked on Learning-based methods for Stiff Differential Equations: Koopman operator theory and Physics-Informed Neural Networks (PINNs) under the supervision of Michele-Alessandro Bucci, Thibault Faney, Cédric Mehl and Marc Schoenauer.
I have also been a research intern in several R&D departments such as Capital Fund Management (CFM) (Anomaly Detection in Time Series), BNP Paribas Real Estate (Machine Learning for Real Estate Market Analysis), and Luxurynsight (Deep Learning for Natural Language Processing).
I hold an MSc in Artificial Intelligence, Systems, and Data (IASD), an MSc in Statistics and Financial Mathematics and a BSc in Applied Mathematics (probability and statistics) at Université Paris Dauphine - PSL.
Research Interests
- Reinforcement Learning
- Learning-based Control
- Information Theory
- Physics-informed Machine Learning
Publications
Learning non-Markovian Dynamical Systems with Signature-based Encoders
E. Pradeleix, R. Hosseinkhan-Boucher, A. Shilova, O. Semeraro, L. Mathelin
Proceedings of the ECAI Workshop on “Machine Learning Meets Differential Equations: From Theory to Applications”, PMLR, 2025
Paper Link | arXiv | BibTeXIncreasing Information for Model Predictive Control with Semi-Markov Decision Processes
R. Hosseinkhan-Boucher, S. Douka, O. Semeraro, L. Mathelin
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR, 2024
Paper Link | arXiv | BibTeXEvidence on the Regularisation Properties of Maximum-Entropy Reinforcement Learning
R. Hosseinkhan-Boucher, O. Semeraro, L. Mathelin
Optimization and Learning, Springer Nature Switzerland, 2025
Paper Link | arXiv | BibTeX
Students
Internships
2025-26: Joachim Jobard, École Centrale Lyon - KTH Royal Institute of Technology
Topic: Learning-based Dynamic Programming on Functional Differential Equations
Role: Co-advisor with L. Mathelin and O. Semeraro.2025: Eliott Pradeleix, École Polytechnique
Topic: Learning Functional Differential Equations with Signature-based Encoders
Led to a publication in the Proceedings of Machine Learning Research (PMLR).
Role: Co-advisor with A. Shilova, L. Mathelin and O. Semeraro.2023: Stella Douka, Université Paris-Saclay, M.Sc. in Artificial Intelligence
Topic: Gaussian Process-based Model Predictive Control with Mutual Information criterion
Led to a publication in the Proceedings of Machine Learning Research (PMLR).
Role: Co-advisor with L. Mathelin and O. Semeraro.
Teaching
I have been a teaching assistant for the following courses:
- Reinforcement Learning (M2 Artificial Intelligence) - Université Paris-Saclay
- Supervise practical sessions and final exam
- Principal Lecturer: L. Mathelin
- Advanced Deep Learning (MVA Program) – ENS Paris-Saclay
- Supervised the Machine Learning for Physics and Interpretability modules
- Principal Lecturer: G. Charpiat
- C++ Programming – Université Paris-Saclay
- Taught Object-Oriented Programming to 1st-year students
- Principal Lecturers: C. Balkanski, H. Bonneau
- Data Science Project – CentraleSupélec
- Research advisor for 2nd-year students
- Project: Adversarial Robustness of Deep Learning classifiers for Airborne Collision Avoidance Systems
- In partnership with IRT SystemX. References: [1], [2], [3]
- Principal Lecturer: W. Ouerdane
Attendance
European Workshop on Reinforcement Learning (EWRL17), Toulouse, France, 2024
6th Annual Learning for Dynamics & Control Conference (L4DC24), Oxford, UK, 2024
European Workshop on Reinforcement Learning (EWRL16), Brussels, Belgium, 2023
Mathematical and Statistical Foundation of Future Data-Driven Engineering - Workshop on Computational Challenges and Emerging Tools (DDEW03), Cambridge, UK, 2022
SIAM Conference on Computational Science and Engineering (SIAM CSE23), Amsterdam, Netherlands, 2023
European Drag Reduction and Flow Control Meeting (EDRFCM 2022), Paris, France, 2022