首页|Reports Summarize Robotics Study Results from Harbin Institute of Technology (Da ta-informed Residual Reinforcement Learning for High-dimensional Robotic Trackin g Control)
Reports Summarize Robotics Study Results from Harbin Institute of Technology (Da ta-informed Residual Reinforcement Learning for High-dimensional Robotic Trackin g Control)
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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 reporting originating in Harbin, People’s Republic of China, by NewsRx journalists, research stated, “The learning inefficiency of rei nforcement learning (RL) from scratch hinders its practical application toward c ontinuous robotic tracking control, especially for high-dimensional robots. This article proposes a data-informed residual reinforcement learning (DR-RL)-based robotic tracking control scheme applicable to robots with high dimensionality.”
HarbinPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotReinforcement LearningR obotRoboticsRobotsHarbin Institute of Technology
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