During my Ph.D., I studied path planning of cooperating agents under connectivity constraints. I developed a framework to describe multi-agent information gathering missions, studied the theoretical complexity and designed efficient algorithms to plan such missions. Later, I extended my work to partially known environments.
I am interested in Artificial Intelligence as a whole and especially Multi Agent aspects. More recently, I have dived into Multi-Agent Reinforcement Learning to enlarge my skill set and solve harder problems.
I have been passionate about development since high school and video game for as long as I can remember. It came naturally to merge those two interests early to enhance my favorite games. I started by tinkering with my favorite childhood game (Dungeon Siege II) to finally release a full modification. From there, I modified many games (e.g. GTA V, TES: Skyrim, Outward) which broaden my skills from development languages (C#, LUA, C++) to more specific skills (e.g. disassembly ASM x86).
Université de Rennes 1
Nov 2018 - Ongoing
Connected Multi-Agent Path Finding:
How Robots Get Away with Texting and Driving
Supervisors: Francois Schwarzentruber, Ocan Sankur
IRISA, Rennes, France
Feb 2018 – Jul 2018
Tradeoff Between Robustness and Optimality in Strategic Reasoning
Supervisors: Ocan Sankur, Francois Schwarzentruber
IPI PAN, Warsaw, Poland
Jun 2017 – Aug 2017
Multivalued Alternating-time Temporal Logic
Supervisors: Wojciech Jamroga, Wojciech Penczek
IRISA, Rennes, France
Sep 2017 – Dec 2017
Distributed Reservation-based Road Planning
Supervisors: Emmanuelle Anceaume, Romaric Ludinard
ENS Rennes - Université de Rennes 1
2016 - 2018
Artificial Intelligence & Verification
IRISA, Rennes, France
Jun 2016 – Aug 2016
Degree of Diagnosability in Discrete Event Systems
Supervisors: Eric Fabre, Blaise Genest
ENS Rennes - Université de Rennes 1
2013 - 2016