首页|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)
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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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.”
ShanghaiPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRoboticsTongji University
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