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METHOD AND APPARATUS FOR TASK SCHEDULING BASED ON DEEP REINFORCEMENT LEARNING, AND DEVICE
METHOD AND APPARATUS FOR TASK SCHEDULING BASED ON DEEP REINFORCEMENT LEARNING, AND DEVICE
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机译:基于深增强学习的任务调度方法和装置,以及设备
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摘要
Disclosed are a method and apparatus for task scheduling based on deep reinforcement learning and a device. The method comprises: obtaining multiple target subtasks to be scheduled; building target state data corresponding to the multiple target subtasks, wherein the target state data comprises a first set, a second set, a third set, and a fourth set; inputting the target state data into a pre-trained task scheduling model, to obtain a scheduling result of each target subtask; wherein, the scheduling result of each target subtask comprises a probability that the target subtask is scheduled to each target node; for each target subtask, determining a target node to which the target subtask is to be scheduled based on the scheduling result of the target subtask, and scheduling the target subtask to the determined target node.
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