Samuele Tosatto

Samuele Tosatto is a Ph.D. student at the Technische Universitaet Darmstadt. His main research focus is reinforcement learning applied to real-world robotics. He believes that obtaining more efficient learning algorithms is of primary importance to shorten the gap between reinforcement learning and real robotics.
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Posts by Samuele Tosatto

Data Science

Enhancing Sample Efficiency in Reinforcement Learning with Nonparametric Methods

Recent developments in artificial intelligence and autonomous learning have shown impressive results in tasks like board games and computer games. However, the... 10 MIN READ