|
Anno Accademico |
2024/2025 |
Corso di Studi |
Dott. - MI (1380) Ingegneria dell'Informazione / Information Technology |
Anno di Corso |
1 |
Codice Identificativo |
062774 |
Denominazione Insegnamento |
MULTI-AGENT LEARNING: FROM THEORY TO PRACTICE |
Tipo Insegnamento |
MONODISCIPLINARE |
Crediti Formativi Universitari (CFU) |
5.0 |
Programma sintetico |
Multi-agent learning has recently demonstrated to be one of the most disruptive Artificial Intelligence tools to tackle adaptive, interactive, and cooperative situations (see, e.g., the recent breakthroughs by Google Deepmind). This course provides the theoretical groundings necessary to design multi-agent learning algorithms and describes how state-of-the-art techniques can be applied to concrete engineering problems in a wide range of application areas, such as, e.g., the Web, telecommunication systems, automation and control, traffic routing, economic transactions, and security settings. |
Settori Scientifico Disciplinari (SSD) |
Codice SSD
|
Descrizione SSD
|
CFU
|
ING-INF/05
|
SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
|
5.0
|
|
Scaglione
|
Nome
|
Programma dettagliato
|
Da (compreso)
|
A (escluso)
|
A
|
ZZZZ
|
Marchesi Alberto, Castiglioni Matteo
|
|
|