首页|Suzhou University of Science and Technology Researchers Provide Details of New S tudies and Findings in the Area of Robotics (Robotic arm grasping study combinin g prior knowledge and deep reinforcement learning)
Suzhou University of Science and Technology Researchers Provide Details of New S tudies and Findings in the Area of Robotics (Robotic arm grasping study combinin g prior knowledge and deep reinforcement learning)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ro botics. According to news originating from Jiangsu, People’s Republic of China, by NewsRx correspondents, research stated, “In the process of applying deep rein forcement learning (DRL) to realize autonomous behavioral decision-making of rob otic arms, the high-dimensional continuous state-action space is prone to low da ta sampling efficiency and low quality of empirical samples, which ultimately le ads to slow convergence of the reward function and long learning time.”
Suzhou University of Science and Technol ogyJiangsuPeople's Republic of ChinaAsiaEmerging TechnologiesMachine L earningReinforcement LearningRoboticsRobots