基本信息
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Bio
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.
Research Interests
Papers共 33 篇Author StatisticsCo-AuthorSimilar Experts
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Zhaorun Chen,Yichao Du,Zichen Wen,Yiyang Zhou,Chenhang Cui, Zhenzhen Weng,Haoqin Tu, Chaoqi Wang, Zhengwei Tong, Qinglan Huang, Canyu Chen,Qinghao Ye,
arxiv(2024)
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CoRR (2024): 3654-3671
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CoRR (2024)
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arxiv(2024)
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CoRR (2024)
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Rafael Rafailov, Yaswanth Chittepu, Ryan Park,Harshit Sikchi,Joey Hejna,Bradley Knox,Chelsea Finn,Scott Niekum
arxiv(2024)
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CoRR (2024)
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ICLR 2024 (2024)
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