evaluative feedback meaning in Chinese

评价反馈

In recent years , reinforcement learning has become one of the key research areas in artificial intelligence and machine learning and it has attracted many researchers in other fields including operations research , control theory and robotics . reinforcement learning is different from supervised learning in that no teacher signals are needed and a reinforcement learning system learns by interacting with the environment to maximize the evaluative feedback from the environment
增强学习与监督学习的不同之处在于，增强学习不要求给定各种状态下的期望输出即教师信号，而强调在与环境交互中的学习，以极大(或极小)化从环境获得的评价性反馈信号为学习目标。
Through analysis of transcript data of a 90 minutes - class from the five excellent teachers , the following features are derived : 1 ) the talking time is not fully dominated by teachers , so students also have their share of talking time ; 2 ) more referential questions occur than display questions ; 3 ) most exchange structures are complex while irf structure still exists ; 4 ) there are more discoursal feedbacks than evaluative feedback
结果表明其特征如下： 1 )课堂话语时间并非全由教师支配，同时也有学生参与会话的时间； 2 )参考性提问普遍多于展示性提问； 3 )大部分会话结构较为复杂，但是irf结构仍占一定比例； 4 )话语性反馈比例略高于评价性反馈。