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Tag Archives: neural nets

UC Berkeley Robot Learns By Trial and Error

Chelsea Finn, Pieter Abbeel, BRETT, Trevor Darrell and Sergey Levine of UC Berkeley developed algorithms that enable their PR2 robot to learn new tasks through trial and error. (Photo credit: UC Berkeley Robot Learning Lab)

New algorithms developed at UC Berkeley let robots learn motor tasks much more like humans do, using trial and error. Using this new approach the robot completed various tasks without prior knowledge of its surroundings, including putting a clothes hanger on a rack, assembling a toy …

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