PhD in Deep Reinforcement Learning · ISAE-Supaero × Airbus
Exploration methods for deep RL applied to critical system testing. MSc in autonomous robotics (ENSTA). Passionate about RL and its applications to robotics.
| Paper | Venue |
|---|---|
| Exploration by Running Away From the Past (RAMP) | Pre-print · 2024 |
| Exploration by Learning Diverse Skills through Successor State Measures (LEADS) | NeurIPS 2024 |
| Exploration-Driven RL for Avionic System Fault Detection | ISSTA 2024 · ACM Distinguished Paper Award |
| Curiosity Creates Diversity in Policy Search (Curiosity-ES) | ACM TELO · 2023 |
- Genesis Robust Quadrotor — Domain randomisation and robust RL for quadrotor drones
- UAV Autonomous Docking — DDPG policy for autonomous UAV docking (CNN+LSTM, ROS, Jetson)
- Karst Robotics Simulation — Gazebo simulation for mobile robot navigation in underwater karst terrains

