Fundamentals of Reinforcement Learning (8 hours)

Teacher: Giuliano Vieri Santucci

The course aims at providing an introduction to reinforcement learning (RL): from a brief introduction on its relations
with biological processes, to its implementation within the machine learning framework. The typologies of problems
tackled with RL will be discussed and presented both with simple examples and with state-of-the art works where RL is applied to autonomous open-ended learning in robots. Hands-on use of code on Q-Learning and Actor-Critic RL
models applied to selected case studies.