首页|Findings from Beijing Institute of Technology in Robotics Reported (A Goal-condi tioned Policy Search Method With Multi-timescale Value Function Tuning)
Findings from Beijing Institute of Technology in Robotics Reported (A Goal-condi tioned Policy Search Method With Multi-timescale Value Function Tuning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Robotics are disc ussed in a new report. According to news reporting from Beijing, People’s Republ ic of China, by NewsRx journalists, research stated, “PurposeCurrent reinforceme nt learning (RL) algorithms are facing issues such as low learning efficiency an d poor generalization performance, which significantly limit their practical app lication in real robots. Funders for this research include National Natural Science Foundation of China ( NSFC), Beijing Natural Science Foundation, Foundation of National Key Laboratory of Human Factors Engineering, Beijing Institute of Technology Research Fund Pro gram for Young Scholars.
BeijingPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningNano-robotRoboticsBeijing Instit ute of Technology
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