Robotics & Machine Learning Daily News2024,Issue(Oct.25) :106-107.

Studies from Tongji University Update Current Data on Robotics (Gthsl: a Goal-ta sk-driven Hierarchical Sharing Learning Method To Learn Long-horizon Tasks Auton omously)

Robotics & Machine Learning Daily News2024,Issue(Oct.25) :106-107.

Studies from Tongji University Update Current Data on Robotics (Gthsl: a Goal-ta sk-driven Hierarchical Sharing Learning Method To Learn Long-horizon Tasks Auton omously)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Robotics are disc ussed in a new report. According to news reporting from Shanghai, People’s Repub lic of China, by NewsRx journalists, research stated, “Robot skill autonomous le arning is a long-standing goal in robotics. However, for long-horizon tasks comm on in robotic applications, it is very challenging to achieve autonomous learnin g from scratch due to the long decision horizon and the high-dimensional continu ous search space.”

Key words

Shanghai/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics/Tongji University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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