Measurement and control resource scheduling method based on deep Q learning

The invention relates to a measurement and control resource scheduling method based on deep Q learning, and belongs to the field of intelligent scheduling. The method comprises the following steps: S1, describing a complex measurement and control scene; s2, designing measurement and control scheduling performance evaluation indexes; s3, forming a measurement and control resource scheduling scheme;s4, applying a DQN algorithm in generation of a measurement and control resource scheduling scheme; and S5, implementing the measurement and control resource scheduling method based on the DQN. According to the method, the measurement and control resource scheduling strategy adaptive to the measurement and control scene can be generated in a complex measurement and control environment without accurately modeling the measurement and control environment, so that the measurement and control resource scheduling efficiency is maximized. 本发明涉及一种基于深度Q学习的测控资源调度方法，属于智能调度领域。该方法包括以下步骤：S1：对复杂测控场景的描述；S2：测控调度性能评价指标设计；S3：测控资源调度方案形成