强化学习
元学习(计算机科学)
计算机科学
人工智能
无监督学习
学习分类器系统
钢筋
机器学习
超启发式
机器人学习
心理学
工程类
机器人
移动机器人
社会心理学
系统工程
任务(项目管理)
标识
DOI:10.1109/itca52113.2020.00019
摘要
Machine learning is a method to achieve artificial intelligence, which is divided into three categories: supervised learning, unsupervised earning, and reinforcement learning. The over-reliance of deep learning on big data restricts its development to some extent, so meta-reinforcement learning (meta-RL) research has received more and more attention. The paper introduces the background, research status and development trend of meta-reinforcement learning, which is also considered as one of the most likely ways to realize general artificial intelligence.
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