PhD · Deep Reinforcement Learning · University of Padova
Researcher in Deep Reinforcement Learning, Neural Networks, and Trustworthy AI. Interested in adversarial robustness, Bayesian ML, and fairness.
About
Experience
G-Research · London, Soho
AMCO Lab · University of Padova
Amazon · Luxembourg
University of Padova
University of Padova
IFAC J3C – Computers, Cognition and Communication · Padova
Awards
Publications
IEEE Trans. Automation Science & Engineering 2025
Edge Delayed Deep Deterministic Policy Gradient: Efficient Continuous Control for Edge Scenarios
IEEE Robotics & Automation Magazine 2025
ICONS 2025
Deep Reinforcement Learning for Autonomous Navigation: Sim-to-Real Transfer on TurtleBots
Information Sciences 2024
Projects
RL Snake
Snake with rooms and walls, solved with DQN, A2C and PPO.
Force / Self-Organizing Graph
Force-directed graph layout via non-convex gradient optimization in JS.
Block Coordinates Gradient Descent
Comparison of BCGD methods on synthetic and real datasets.
Stochastic Gradient Descent Alternatives
Comparison of SARAH, SpiderBoost and SNVRG on real-world datasets.
Attention Sampling Classification
Mega-pixel image classification via attention sampling trained with RL — orders of magnitude fewer FLOPs than standard CNNs.
Binarized Neural Networks
Neural networks with binary weights, implemented with first-order logic and MaxSAT solvers.
Discrete GANs
GANs with a discrete generator trained via RL and straight-through estimator.
Other Experience
Earlier work in web development and software engineering.
Non Solo Arredo
JustItalianWine · Freelance
Euronovate Group · Padova
Non Solo Arredo · Padova
Green Forniture · Freelance
Non Solo Arredo · Padova
INFN · Padova