- Master in Computer Science, Sorbonne University
- Double Bachelor in Mathematics and Economics, Université Toulouse
Search and Learning algorithm for games with imperfect information.
Monte Carlo research has revolutionised game solving, and, combined with deep reinforcement learning has led to the creation of programs such as AlphaGo, Alpha Zero or Polygames that have beaten the best human players in many games. My thesis topic will focus on the extension of the methods of Monte Carlo and Deep Reinforcement Learning for imperfect information games with several players (multi-agent system).