lectures
(Multi-Agent) Reinforcement Learning: a primer, with applications in economics
A self-contained introduction to reinforcement learning (RL) and multi-agent reinforcement learning (MARL) for PhD and Master students in Data Science at Sapienza University of Rome. The course moves from foundational RL concepts and modern deep RL, to the game-theoretic underpinnings of multi-agent systems and core MARL and deep MARL algorithms. In addition to the main theoretical concepts, each lesson includes applications to economic modelling, as well as interactive demos and hands-on coding exercises.
past lectures
2022
2021
- AI/MLUniversity of Trieste, Master courseGuest lecture on deep learning, Apr 2021
- AI/ML for ScienceTU Clausthal, Summer schoolTwo day course on machine learning for physics, Mar 2021
2020
- AI/ML