About
Matteo Papini is an Assistant Professor at Politecnico di Milano, affiliated with the Department of Electronics, Information, and Bioengineering. He is a member of the Artificial Intelligence and Robotics Lab and an active researcher in reinforcement learning. His work focuses on sequential decision-making under uncertainty, policy optimization, and safe exploration.
- Education: PhD in Information Technology (cum laude, 2021) from Politecnico di Milano; M.Sc. and B.Sc. in Computer Engineering from the same institution.
Research Interests:
- Reinforcement Learning
- Policy Gradient Methods
- Contextual Bandits
- Safe and Efficient Exploration
Key Awards: NeurIPS 2018 Oral Presentation, Juan de la Cierva-Formación Grant, and multiple travel awards. He has authored over 20 peer-reviewed papers in top conferences like NeurIPS, ICML, and COLT.
Teaching: Currently teaching Algorithms and Advanced Deep Learning. Served as a Teaching Assistant for multiple AI and machine learning courses.
Service: Local Co-chair of ALT 2025, Area Chair for NeurIPS and ICML, and Action Editor for TMLR.
Labs/Teams: Member of the Artificial Intelligence and Robotics Lab at Politecnico di Milano and part of the ELLIS network.
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