摘要
一位新闻记者兼机器人与机器学习的新闻编辑每日新闻-机器人的研究发现被用在一份新的报告中。根据NewsRx记者从中国人民共和国北京发回的新闻报道，研究表明：“当前强化学习(RL)算法存在学习效率低、泛化能力差等问题，严重限制了其在实际机器人中的实际应用。”人因工程国家重点实验室基础，北京理工学院青年学者基金项目。
Abstract
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.
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