I am a Ph.D. student working on Reinforcement Learning at LIRIS/École Centrale de Lyon, supervised by Associate Prof. Emmanuel Dellandréa. I focus on the design of robust reinforcement learning algorithms, especially for highly sparse reward environments. I am currently exploring efficient exploration with the Go-Explore paradigm and curiosity-based methods. My driving force is my fascination for the intertwining of cognitive science and artificial intelligence. Every day I ask myself this very basic question: how do we learn so much without even realizing it?
Feel free to contact me, I would be happy to share with you my work or anything else.
Dissertation: Efficient exploration for reinforcement learning in the context of highly sparse reward environments.
Supervisor: Associate Prof. Emmanuel Dellandréa
Majoring in Energy, Electricity and Automation, embedded systems.
Dissertation: Mixed-Precision in Graphics Processing Units.
Supervisor: Prof. Ian O’Connor
Equivalent of the first two years of B.S.
Majoring in Math, Physics, Engineering Sciences