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)
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.”
Key words
Suzhou University of Science and Technol ogy/Jiangsu/People's Republic of China/Asia/Emerging Technologies/Machine L earning/Reinforcement Learning/Robotics/Robots
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