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个人简介
I am a Ph.D. student in Computer Science at Stanford University and part of the Stanford Artificial Intelligence Laboratory (SAIL). I am interested in the capability of robots and other agents to develop broadly intelligent behavior through learning and interaction. My reserach is focused on a data-driven approach to embodied AI, which aims to re-use previously collected data to deploy in offline reinforcement, planning and imitation learing, particularly in realistic domains. I am also interested in model-based learning, generative modelling and real-world deployment of RL.
Previously I obtained Masters degrees in Statistics and Computer Science (with distinction in research) also at Stanford. Before that, I graduated from UC Berkeley with highest honors in Applied Mathematics, Statistics and Economics. Before graduate school I was a junior portfolio manager at Goldman Sachs' Quantitative Investment Startegies (QIS) unit.
Previously I obtained Masters degrees in Statistics and Computer Science (with distinction in research) also at Stanford. Before that, I graduated from UC Berkeley with highest honors in Applied Mathematics, Statistics and Economics. Before graduate school I was a junior portfolio manager at Goldman Sachs' Quantitative Investment Startegies (QIS) unit.
研究兴趣
论文共 26 篇作者统计合作学者相似作者
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CoRR (2024): 3654-3671
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arxiv(2024)
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CoRR (2024)
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ICLR 2024 (2024)
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Matthias Gerstgrasser,Rylan Schaeffer, Apratim Dey,Rafael Rafailov, Henry Sleight, John Hughes, Tomasz Korbak, Rajashree Agrawal,Dhruv Pai, Andrey Gromov, Daniel A. Roberts,Diyi Yang,
arxiv(2024)
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arXiv (Cornell University) (2023)
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