Samuele Tosatto
Assistant Professor at University of Alberta
Innsbruck, Tyrol, Austria
Summary
👤
Senior🎓
Top SchoolSamuele Tosatto is an Assistant Professor and former postdoctoral researcher with about a decade of experience specializing in reinforcement learning for real-world robotics and systems. He focuses on sample-efficient off-policy methods and learning compact state-action representations to improve safety and practical deployment, with contributions like Boosted FQI and NOPG. Trained in software engineering at Politecnico di Milano and forged during a PhD in Darmstadt, he blends rigorous theoretical work with hands-on robotic integration. Based in Innsbruck, he brings an uncommon mix of production-minded engineering and academic innovation, aiming to close the gap between lab RL and deployed autonomous systems.
10 years of coding experience
Master's degree, Software Engineering, 110/110, Master's degree, Software Engineering, 110/110 at Politecnico di Milano
Italian, English
Github Skills (62)
lstm-neural-networks10
toolbox10
stable-baselines10
reinforcement-learning9
robotics9
robustness9
stock-trading9
q-learning9
deep-reinforcement-learning8
python8
signal8
tikz8
machine-learning8
gymnasium8
openai8
Programming languages (3)
Github contributions (5)
SamuelePolimi/TreasureBot
Aug 2016 - Nov 2017
A bot for financial signal
Contributions:39 commits, 2 PRs, 30 pushes in 1 year 3 months
financialsignalstock-tradingtrading-botlstm-neural-networks
SamuelePolimi/MPPCA
Aug 2020 - Dec 2022
Mixture of Probabilistic Principal Components. For clustering, density estimation, data reconstruction, noise cancellation.
Contributions:1 review, 11 pushes, 1 branch in 2 years 3 months
reconstructionpythonlinear-modelsmachine-learningdensity-estimation
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