Docente: Mirco Musolesi (DISI, Università di Bologna)
Periodo di svolgimento delle lezioni: 1,7,8 Settembre 2020
Durata: 16 ore
Modalità di verifica: a progetto
The course will provide an introduction to Reinforcement Learning in the context of the design of intelligent systems, intelligent agents and intelligent machines. In particular, we will discuss multi-armed bandits, Montecarlo methods, tabular methods, approximation function methods, and Deep Reinforcement Learning.
We will consider a series of applications including classic control theory problems, robotics, games, recommender systems and distributed systems design.