Brief Intro
I am a PhD Student since May 2022, working on Reinforcement Learning under the supervision of Prof. Marcello Restelli, at the Department of Electronics, Informatics and Bio-engineering (DEIB) of Politecnico di Milano.
Some History
Between 2019 and 2022 I worked first as a R&D Control Engineer for e-Novia, then briefly as an Embedded SW Engineer for Kalpa, and finally as a Research Scholar at DEIB working on Distributed Methods for Industry 4.0.
In October 2019, I received my Master of Science in Automation and Control Engineering at Politecnico di Milano (with honors), defending the thesis “Introducing a proprio-ceptive feedback in the bio-inspired Tegotae control approach : enhanced learning and energy efficiency”, under the supervision of Prof. Fabio Dercole and Prof. Mitsuhiro Hayashibe, which resulted from a visiting research program at the Neuro-Robotics Laboratory of Tohoku Univesity.
In July 2017, I obtained a Bachelor of Mechatronics Engineering from University of Trento (with honors), defending a thesis on Mathematical Control Theory) (in Italian, unfortunately).
Teaching Activities
In the Academic Years 2022-2023 & 2023-2024 I have been working as Teaching Assistant for the Course of Informatics by Prof. A. Marchesi.
In the Academic Year 2002-2023 I did some Tutoring Activities for the Master in Data Science & AI held by Cefriel.
Research Interests
My main research interests focus on Reinforcement Learning (RL), and more specifically Distributed Reinfocement Learning. I am currently investigating on the frontiers between single-agent and multi-agent problems. The aim is to develop a theoretical understanding of how single-agent methods can be distributed through communication and information sharing, without paying too much in terms of RL performance. (un)Fortunately, little has changed since Laurer & Riedmiller (2000).
Industrial Collaborations
I am collaborating with Siemens AT on potential applications of Distributed RL for Industry 4.0, in particular for the distributed control of a production plant, which usually goes under the umbrella name of Job-Shop Scheduling Problem (I believe a good old introduction can be found here).
Credits
You can have a look at my full CV here. It might not be updated very often.
Feel free to contact me by e-mail, I am always open to collaborations!