About
I am a Ph.D. candidate at the Department of Electronics, Information and Bioengineering (DEIB) at Politecnico di Milano under the supervision of Professor Nicola Gatti. Currently, I am a visiting Ph.D. student at the Machine Intelligence through Decision-making and Interaction (MIDI) Lab at the University of Texas at Austin, supervised by Professor Amy Zhang.
During my Ph.D. I studied adversarial attacks setting for online learning algorithms. Now I am interested in reinforcement learning (RL), more precisely, multi-task task adaptation via unsupervised RL, and continual RL.
Previously, I received my M.Sc. in Computer Science and Engineering from Politecnico di Milano in 2022 and subsequently worked as a research engineer at the AI Research and Innovation Center (AIRIC).
News
- Nov 2025 — Paper accepted at AAAI with oral presentation
- Jul 2025 — Paper accepted at Control and Decision Conference (CDC)
- Apr 2025 — Started my visiting period at UT Austin.
- Mar 2025 — Paper accepted for pubblication at CDC25
- Mar 2025 — Paper accepted for pubblication at RLC25 Workshop
Selected publications
Conferences
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Do it for HER: First-order Logic Reward Specification in Reinforcement Learning
AAAI 2026 (Oral)
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Precision UAV Formation Control via PGPE-enhanced NMPC
CDC 2025
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Online Markov Decision Processes Configuration with Continuous Decision Space
AAAI 2024
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Subgame Solving in Adversarial Team Games
NeurIPS 2022
Workshops
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Online Configuration in Continuous Decision Space
EWRL 2023
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Do it for HER: First-order Logic Reward Specification in Reinforcement Learning
RLC 2025 Workshop on Programmatic Reinforcement Learning
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Delayed Adversarial Attacks on Stochastic Multi-Armed Bandits
ICML 2024 Workshop Aligning Reinforcement Learning Experimentalists and Theorists
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Experimental implementation of discrete time quantum walk with the ibm qiskit library
IEEE/ACM QSE Workshop 2021
Full list on Google Scholar.