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Training a policy model for a robotic task, using reinforcement learning and utilizing data that is based on episodes, of the robotic task, guided by an engineered policy |
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Efficient adaption of robot control policy for new task using meta-learning based on meta-imitation learning and meta-reinforcement learning |
Mrinal Kalakrishnan, Yunfei Bai, Paul Wohlhart, Eric Jang, Chelsea Finn +4 more |
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Utilizing past contact physics in robotic manipulation (e.g., pushing) of an object |
Zhuo Xu, Wenhao Yu, Wenlong Lu, Chuyuan Fu, Yunfei Bai +2 more |
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Asynchronous robotic control using most recently selected robotic action data |
Dmitry Kalashnikov, Julian Ibarz |
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Generating reinforcement learning data that is compatible with reinforcement learning for a robotic task |
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Interface process for an all points addressable printer |
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Optical mark recognition for controlling input devices, hosts, and output devices |
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