Task processing method, device and equipment and computer readable storage medium

The invention provides a task processing method and device, equipment and a computer readable storage medium. The method comprises the steps of obtaining a processing request for a to-be-processed task; determining first resource use data of the task computing node; inputting the first feature data and the first resource use data into a trained deep reinforcement learning network model to obtain a first decision result; and processing the to-be-processed task based on the first decision result. Therefore, since the deep reinforcement learning network model is trained by taking the maximum number of the first task samples calculated in the preset time period and the minimum energy consumption of the first task samples as optimization targets, calculation resources can be reserved for future tasks according to the calculation duration, the calculation deadline and the like of the tasks; according to the method, the computing resources are allocated to the tasks with relatively long computing time, so that relat