首页|New Findings on Robotics Described by Investigators at Pennsylvania State Univer sity (Penn State) (Federated Reinforcement Learning for Robot Motion Planning Wi th Zero-shot Generalization)
New Findings on Robotics Described by Investigators at Pennsylvania State Univer sity (Penn State) (Federated Reinforcement Learning for Robot Motion Planning Wi th Zero-shot Generalization)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reporting outof University Park, Pennsylvania, by NewsRx editors, research stated, “This paper considers the problem oflearni ng a control policy for robot motion planning with zeroshot generalization, i.e. , no data collectionand policy adaptation is needed when the learned policy is deployed in new environments. We develop afederated reinforcement learning fram ework that enables collaborative learning of multiple learners and acentral ser ver, i.e., the Cloud, without sharing their raw data.”
University ParkPennsylvaniaUnited St atesNorth and Central AmericaEmerging TechnologiesMachine LearningReinfo rcement LearningRobotRoboticsPennsylvania State University (Penn State)
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