Robotics & Machine Learning Daily News2024,Issue(Aug.5) :20-21.

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)

Robotics & Machine Learning Daily News2024,Issue(Aug.5) :20-21.

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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Abstract

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.”

Key words

University Park/Pennsylvania/United St ates/North and Central America/Emerging Technologies/Machine Learning/Reinfo rcement Learning/Robot/Robotics/Pennsylvania State University (Penn State)

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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