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职业迁徙
个人简介
At DeepMind I work on robotic manipulation tasks from vision with a data-driven approach. We use human annotations to learn reward functions and we use off-policy reinforcement learning to train strategies from historical data. During my PhD I worked on active learning (AL) for different classification tasks. Given a pool of unlabelled data, the goal of AL is to select which data should be annotated in order to learn the model as quickly as possible. Many AL strategies could be proposed, without any of them clearly outperforming others. It led me to meta-learning approach to active learning, where a strategy is learnt from an ensemble of multiple previous AL problems.
研究兴趣
论文共 27 篇作者统计合作学者相似作者
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ICLR 2024 (2024)
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Caglar Gulcehre,Tom Le Paine, Srivatsan Srinivasan,Ksenia Konyushkova, Lotte Weerts,Abhishek Sharma,Aditya Siddhant,Alex Ahern,Miaosen Wang,Chenjie Gu,Wolfgang Macherey,Arnaud Doucet,
CoRR (2023)
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Yuqing Du,Ksenia Konyushkova,Misha Denil,Akhil Raju, Jessica Landon,Felix Hill,Nando de Freitas,Serkan Cabi
arxiv(2023)
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CoRR (2023)
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arXiv (Cornell University) (2023)
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