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公开(公告)号:US12083678B2
公开(公告)日:2024-09-10
申请号:US17422260
申请日:2020-01-23
Applicant: Google LLC
Inventor: Mrinal Kalakrishnan , Yunfei Bai , Paul Wohlhart , Eric Jang , Chelsea Finn , Seyed Mohammad Khansari Zadeh , Sergey Levine , Allan Zhou , Alexander Herzog , Daniel Kappler
IPC: B25J9/16
CPC classification number: B25J9/163 , G05B2219/40116 , G05B2219/40499
Abstract: Techniques are disclosed that enable training a meta-learning model, for use in causing a robot to perform a task, using imitation learning as well as reinforcement learning. Some implementations relate to training the meta-learning model using imitation learning based on one or more human guided demonstrations of the task. Additional or alternative implementations relate to training the meta-learning model using reinforcement learning based on trials of the robot attempting to perform the task. Further implementations relate to using the trained meta-learning model to few shot (or one shot) learn a new task based on a human guided demonstration of the new task.
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公开(公告)号:US20220105624A1
公开(公告)日:2022-04-07
申请号:US17422260
申请日:2020-01-23
Applicant: Google LLC
Inventor: Mrinal Kalakrishnan , Yunfei Bai , Paul Wohlhart , Eric Jang , Chelsea Finn , Seyed Mohammad Khansari Zadeh , Sergey Levine , Allan Zhou , Alexander Herzog , Daniel Kappler
IPC: B25J9/16
Abstract: Techniques are disclosed that enable training a meta-learning model, for use in causing a robot to perform a task, using imitation learning as well as reinforcement learning. Some implementations relate to training the meta-learning model using imitation learning based on one or more human guided demonstrations of the task. Additional or alternative implementations relate to training the meta-learning model using reinforcement learning based on trials of the robot attempting to perform the task. Further implementations relate to using the trained meta-learning model to few shot (or one shot) learn a new task based on a human guided demonstration of the new task.
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