Michelangelo Conserva

Michelangelo Conserva is a first-year PhD student studying principled exploration strategies in reinforcement learning. He is particularly interested in randomized exploration and, more generally, Bayesian methods for reinforcement learning.

He holds a BSc in Statistics, Economics and Finance from Sapienza, University of Rome and a MSc in Computational Statistics and Machine learning from University College of London.

As a PhD student at Queen Mary University of London, Michelangelo aims at finding a principled answer for the use of Bayesian methods for Reinforcement Learning in the contex of function approximations.

  • Statistics
  • Machine Learning
  • Reinforcement Learning