基本信息
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个人简介
He works in machine learning and robotics. In particular his research focuses on making robots learn from people (apprenticeship learning), how to make robots learn through their own trial and error (reinforcement learning), and how to speed up skill acquisition through learning-to-learn (meta-learning). His robots have learned advanced helicopter aerobatics, knot-tying, basic assembly, organizing laundry, locomotion, and vision-based robotic manipulation. He has won numerous awards, including best paper awards at ICML, NIPS and ICRA, early career awards from NSF, Darpa, ONR, AFOSR, Sloan, TR35, IEEE, and the Presidential Early Career Award for Scientists and Engineers (PECASE). Pieter's work is frequently featured in the popular press, including New York Times, BBC, Bloomberg, Wall Street Journal, Wired, Forbes, Tech Review, NPR.
研究兴趣
论文共 606 篇作者统计合作学者相似作者
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Yoshua Bengio, Geoffrey Hinton, Andrew Yao,Dawn Song,Pieter Abbeel, Yuval Noah Harari, Ya-Qin Zhang, Lan Xue,Shai Shalev-Shwartz,Gillian Hadfield,Jeff Clune, Tegan Maharaj,
CoRR (2023)
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Mengjiao Yang, KwangHwan Cho,Amil Merchant,Pieter Abbeel,Dale Schuurmans, Igor Mordatch,Ekin Dogus Cubuk
arxiv(2023)
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arxiv(2023)
引用44浏览0EI引用
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Kevin Zakka,Laura Smith, Nimrod Gileadi,Taylor Howell,Xue Bin Peng,Sumeet Singh,Yuval Tassa, Pete Florence, Andy Zeng,Pieter Abbeel
CoRR (2023)
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arxiv(2023)
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ICLR 2023 (2023)
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arxiv(2023)
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Robotics: Science and Systems (2023)
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CoRR (2023)
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