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个人简介
My research focus lies at the intersection of Meta-Learning, Representation Learning and Robotics. I seek to further advance our understanding of Meta-Learning as the key for increasing data and compute efficiency in Machine Learning models, with the eventual goal of applying such insights for solving complex Reinforcement Learning and Control tasks in the Robotics domain. I believe that broader and more robust generalization afforded by novel Meta-Learning techniques will lead to shorter development cycles and wider adoption of automation solutions and broadly applicable AI agents. As part of this effort, I aim to take inspiration from biologically sound Neural Network architectures and from computational neuroscience.
研究兴趣
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arxiv(2023)
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D-Core
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