Robotics & Machine Learning Daily News2024,Issue(Aug.29) :89-90.

Data from North University of China Provide New Insights into Robotics (Reinforc ement Learning Path Planning Method Incorporating Multi-step Hindsight Experienc e Replay for Lightweight Robots)

Robotics & Machine Learning Daily News2024,Issue(Aug.29) :89-90.

Data from North University of China Provide New Insights into Robotics (Reinforc ement Learning Path Planning Method Incorporating Multi-step Hindsight Experienc e Replay for Lightweight Robots)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - New research on Robotics is the subject of a repo rt. According to news reporting from Taiyuan,People’s Republic of China, by New sRx journalists, research stated, “Home service robots prioritize costeffectiveness and convenience over the precision required for industrial tasks like auton omous driving,making their task execution more easily. Meanwhile, path planning tasks using Deep Reinforcement Learning(DRL) are commonly sparse reward problem s with limited data utilization, posing challenges in obtainingmeaningful rewar ds during training, consequently resulting in slow or challenging training.”

Key words

Taiyuan/People’s Republic of China/Asi a/Algorithms/Emerging Technologies/Machine Learning/Nano-robot/Reinforcemen t Learning/Robot/Robotics/North University of China

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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