首页|New Robotics Study Findings Have Been Published by Researchers at Dongguan Unive rsity of Technology (Curiosity model policy optimization for robotic manipulator tracking control with input saturation in uncertain environment)

New Robotics Study Findings Have Been Published by Researchers at Dongguan Unive rsity of Technology (Curiosity model policy optimization for robotic manipulator tracking control with input saturation in uncertain environment)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Data detailed on robotics have been pr esented. According to news reporting out of Dongguan, People’s Republic of China , by NewsRx editors, research stated, “In uncertain environments with robot inpu t saturation, both model-based reinforcement learning (MBRL) and traditional con trollers struggle to perform control tasks optimally.”

Dongguan University of TechnologyDongg uanPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRoboticsRobots

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(MAY.10)