首页|Studies from Southern University of Science and Technology (SUSTech) Update Curr ent Data on Robotics (Efficient Robot Manipulation via Reinforcement Learning wi th Dynamic Movement Primitives-Based Policy)
Studies from Southern University of Science and Technology (SUSTech) Update Curr ent Data on Robotics (Efficient Robot Manipulation via Reinforcement Learning wi th Dynamic Movement Primitives-Based Policy)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ro botics. According to news reporting originatingfrom Shenzhen, People’s Republic of China, by NewsRx correspondents, research stated, “Reinforcementlearning (R L) that autonomously explores optimal control policies has become a crucial dire ction fordeveloping intelligent robots while Dynamic Movement Primitives (DMPs) serve as a powerful tool forefficiently expressing robot trajectories.”
Southern University of Science and Techn ology (SUSTech)ShenzhenPeople’s Republic of ChinaAsiaEmerging Technologi esMachine LearningReinforcement LearningRobotRobotics
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