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.
- Machine Learning
- Reinforcement Learning