Efficient Adaptation for End-to-End Vision-Based Robotic Manipulation

21 Apr 2020Ryan JulianBenjamin SwansonGaurav S. SukhatmeSergey LevineChelsea FinnKarol Hausman

One of the great promises of robot learning systems is that they will be able to learn from their mistakes and continuously adapt to ever-changing environments. Despite this potential, most of the robot learning systems today are deployed as a fixed policy and they are not being adapted after their deployment... (read more)

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