When a rule shows parameters in this way, you can adjust them to suit your needs, and the new values will automatically be stored with the rule selection.
当规则以这种方式显示参数时，您可以调整它们来适合您的需要，并且新的值将自动地存储于规则选择中。
Q-learning was applied to resolution of the adaptive dispatching rule selection problem under dynamic single-machine scheduling environment.
提出了一种利用Q-学习解决动态单机调度环境下的自适应调度规则选择的方法。
Q-learning was applied to resolution of the adaptive dispatching rule selection problem under dynamic single-machine scheduling environment.
提出了一种利用Q-学习解决动态单机调度环境下的自适应调度规则选择的方法。
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