Riccardo Zamboni

Riccardo Zamboni is a PhD student at Politecnico di Milano, focusing on Distributed and Multi-agent Reinforcement Learning for Industry 4.0, under the guidance of M. Previously, Riccardo served as a research scholar, engaging in activities related to Multi-agent Reinforcement Learning tailored for Industry 4.0 applications. Riccardo also has experience as a tutor for the Master in Data Science & AI program at Cefriel and has worked as an embedded software developer at Kalpa, concentrating on embedded machine learning. Prior roles include an Automation & Control Engineer at e-Novia, contributing to innovative automation and control projects, and a visiting researcher at Tohoku University, where research revolved around bio-inspired adaptive dynamical systems. Riccardo's educational background encompasses a Master of Engineering in Automation and Control Engineering from Politecnico di Milano and various studies in robotics and engineering at institutions such as Ruhr University Bochum and Università di Trento.