New Artificial Intelligence Study Results from Chungbuk National University Desc ribed (Reinforcement Learning-Based Delay Line Design for Crosstalk Minimization )
New Artificial Intelligence Study Results from Chungbuk National University Desc ribed (Reinforcement Learning-Based Delay Line Design for Crosstalk Minimization )
中山国立大学人工智能研究新成果(基于强化学习的串扰最小化延迟线设计)
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摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员讨论人工智能的新发现。根据消息来源来自NewsRx编辑的南Kore A Chungbuk的研究表明，“强化学习(RL)是一种新的学习方式。”一种人工智能技术，它建立了一个人工神经网络来实现最大的最佳决策"。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news originatingfrom Chungbuk, South Kore a, by NewsRx editors, the research stated, “Reinforcement learning (RL) isone o f the artificial intelligence techniques that build an artificial neural network to achieve the mostoptimum decision.”
Key words
Chungbuk National University/Chungbuk/South Korea/Asia/Artificial Intelligence/Emerging Technologies/Machine Learn ing/Reinforcement Learning
NETL
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