Robotics & Machine Learning Daily News2024,Issue(Aug.5) :56-57.

Investigators from Changchun University of Technology Have Reported New Data on Robotics (Autonomous Navigation of Mobile Robots In Unknown Environments Using O ff-policy Reinforcement Learning With Curriculum Learning)

Robotics & Machine Learning Daily News2024,Issue(Aug.5) :56-57.

Investigators from Changchun University of Technology Have Reported New Data on Robotics (Autonomous Navigation of Mobile Robots In Unknown Environments Using O ff-policy Reinforcement Learning With Curriculum Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Robotics have been publi shed. According to news reporting originatingfrom Changchun, People’s Republic of China, by NewsRx correspondents, research stated, “Reinforcementlearning (RL ) is effective for autonomous navigation tasks without prior knowledge of the en vironment.However, traditional mobile robot navigation algorithms, based on off -policy RL, often face challengessuch as low sample efficiency during training and lack of adequate safety mechanisms.”

Key words

Changchun/People’s Republic of China/A sia/Emerging Technologies/Fuzzy Logic/Machine Learning/Nano-robot/Reinforce ment Learning/Robotics/Changchun University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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