Task processing method, device and equipment in mobile edge computing (MEC) network

The embodiment of the invention provides a task processing method, device and equipment in an MEC (Mobile Edge Computing) network, which are applied to the technical field of communication and can determine current state information; searching actions and system benefits corresponding to the current state information from a pre-established Q table, wherein the actions comprise that each mobile device locally processes own to-be-processed tasks or processes own to-be-processed tasks through an edge server; the pre-established Q table comprises actions corresponding to a plurality of parts of state information and system earnings; the pre-established Q table is obtained through reinforcement learning iteration according to different actions executed under multiple parts of state information; and selecting an action corresponding to the maximum system benefit as a target action corresponding to the current state information, so that each mobile device processes the own to-be-processed task according to the targe