Teaching 

office hours: by appointment, in Room B213 (second floor), Dipartimento di Ingegneria Informatica, Automatica e Gestionale (DIAG), Via Ariosto 25, Roma. To reserve an appointment, please send me an e-mail.

email: umili@diag.uniroma1.it

Mini course on "Integration of Regular Languages in Deep Learning for Sequential Domains ".

Summer School on Symbolic and Statistical Methods for reasoning and Processing Formal Expressions, 7-11 July Kutaisi International University.  

Website: https://europroofnet.github.io/Kutaisi25/ 

Teacher of the PhD course of Hybrid Neurosymbolic Techniques for Non-Markovian Reinforcement Learning  (2 cfu)

AY 2024/2025

National PhD program in Artificial Intelligence, PhD program in Engineering in Computer Science at Sapienza University

Teachers: Elena Umili, Fabio Patrizi, Roberto Capobianco, Giuseppe De Giacomo, Luca Iocchi

Website: https://sites.google.com/diag.uniroma1.it/nesy-for-non-markovian-rl/home 

Google Classroom: https://classroom.google.com/c/NzQ0NTQyMDI3MDc4?cjc=nwb3n2e 

Teacher of the course of Planning and Reasoning  (6 cfu)

First semester AY 2023/2024

Master's Degree in Artificial Intelligence and Robotics, Master's Degree in Engineering in Computer Science

Teachers: prof. Elena Umili (3 cfu) and prof. Andrea Marrella (3 cfu)

Website: https://sites.google.com/uniroma1.it/pr-23-24/ 

Google Classroom: https://classroom.google.com/c/NjI0NzczOTc5MzA0?cjc=r7vdawr 

Teacher of the course of Fondamenti di Intelligenza Artificiale (6 cfu)

Second semester AY 2022/2023

Bachelor’s Degree in Engineering in Computer Science

Teachers: 

• prof. Elena Umili (3 cfu) (parte di Intelligenza Artificiale)

• prof. Fabrizio Silvestri (3 cfu) (Parte di Apprendimento Automatico)

Google Classroom: https://classroom.google.com/u/1/c/NTkzMDczOTcyNTQ1

Guest lecturer in the PhD course of Advanced Topics in Reinforcement Learning (4 cfu)

First semester AY 2023/2024

National PhD program in AI, PhD in Engineering in Computer Science

Teachers: prof. Roberto Capobianco

Google Classroom: https://classroom.google.com/u/1/c/NTg5OTAxMjEyMDE2  

Guest lecturer in the course of Seminars in AI and Robotics (4 cfu)

Second semester AY 2022/2023

Master's Degree in Artificial Intelligence and Robotics

Teachers: prof. Roberto Capobianco

Google Classroom:  https://classroom.google.com/u/1/c/NTE2NjIwMjk5NzUw 

Guest lecturer in the PhD course of Non-Markov Decision Processes and Reinforcement Learning (4 cfu)

First semester AY 2022/2023

National PhD program in AI, PhD in Engineering in Computer Science

Teachers: professors Giuseppe De Giacomo, Luca Iocchi, Fabio Patrizi, Alessandro Ronca

Website: https://whitemech.github.io/courses 

Teaching assistant of the course of Reinforcement Learning (6 cfu)

First semester AY 2022/2023

Master's Degree in Artificial Intelligence and Robotics

Teachers: prof. Roberto Capobianco

Google Classroom: https://classroom.google.com/u/1/c/NTI4MTc5Mzg4NDUw 

Teaching assistant of the course of Tecniche di Programmazione (9 cfu)

First semester AY 2019/2020

Bachelor’s Degree in Engineering in Computer Science

Teachers: professors Daniele Nardi, Luca Iocchi, Fabio Patrizi