Andrea is a final year PhD candidate in the Institute for Computational and Mathematical Engineering at Stanford University advised by prof Emma Brunskill and Mykel J. Kochenderfer. During his PhD he worked closely with Alessandro Lazaric from Facebook Artificial Intelligence Research and Alekh Agarwal from Microsoft Research. Andrea's research focuses on provably efficient methods for Reinforcement Learning. His research has been partially supported by Total. Before starting his PhD, Andrea was a master’s student in the same department, and his bachelors is in Mechanical Engineering from the University of Padova.
- Theory of Reinforcement Learning, Fall 2020. Visiting Graduate Student.