基本信息
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Bio
Deep Learning, Computer Vision, Reinforcement Learning.
At Google, I’m most interested in creating artificial agents that can generalize to diverse tasks and environments. I mainly work on problems in deep learning, reinforcement learning, representation learning, information theory and robotics. I have been so far enjoying applying my research works to robot manipulation for arm grasping and robot locomotion for legged robots.
At Google, I’m most interested in creating artificial agents that can generalize to diverse tasks and environments. I mainly work on problems in deep learning, reinforcement learning, representation learning, information theory and robotics. I have been so far enjoying applying my research works to robot manipulation for arm grasping and robot locomotion for legged robots.
Research Interests
Papers共 29 篇Author StatisticsCo-AuthorSimilar Experts
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CoRR (2024)
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Conference on Robot Learning (2023): 3397-3417
ICLR 2024 (2023)
CoRR (2023)
Wenhao Yu,Nimrod Gileadi,Chuyuan Fu,Sean Kirmani,Kuang-Huei Lee, Montse Gonzalez Arenas,Hao-Tien Lewis Chiang,Tom Erez,Leonard Hasenclever,Jan Humplik,Brian Ichter,Ted Xiao,
CoRR (2023): 374-404
NeurIPS 2022 (2022)
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