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    Efficient and principled robot learning: Theory and algorithms 

    Cheng, Ching An (Georgia Institute of Technology, 2020-01-07)
    Roboticists have long envisioned fully-automated robots that can operate reliably in unstructured environments. This is an exciting but extremely difficult problem; in order to succeed, robots must reason about sequential ...
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    Physics-based reinforcement learning for autonomous manipulation 

    Scholz, Jonathan (Georgia Institute of Technology, 2015-08-21)
    With recent research advances, the dream of bringing domestic robots into our everyday lives has become more plausible than ever. Domestic robotics has grown dramatically in the past decade, with applications ranging from ...

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    AuthorCheng, Ching An (1)Scholz, Jonathan (1)Subject
    Reinforcement learning (2)
    Robotics (2)
    Control theory (1)Imitation learning (1)Machine learning (1)Online learning (1)Optimization (1)... View MoreDate Issued2015 (1)2020 (1)Has File(s)Yes (2)
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