Task allocation method based on reinforcement learning

Abstract

The invention belongs to the technical field of reinforcement learning, and discloses a task allocation method based on reinforcement learning, which comprises the steps of collecting and obtaining employee information and task information; establishing a reinforcement learning model according to the employee information and the task information, initializing a Q matrix, a state vector S, an action vector A and a reward matrix R, setting hyper-parameters, and performing iterative computation of the Q matrix; updating a current task allocation threshold of the employee by utilizing the reinforcement learning model; obtaining weight information of each employee according to the current task allocation threshold of each employee and the number of currently allocated tasks; and allocating thenew task according to the weight information of all employees of the to-be-allocated task. According to the invention, the problem that the task allocation method based on the labor cost in the priorart cannot efficiently and reasonably perform task allocation is solved, the task allocation can be automatically performed online through a reinforcement learning method, and the defects of manual task allocation are overcome.

Description

technical field [0001] The invention relates to the technical field of reinforcement learning, in particular to a task allocation method based on reinforcement learning. Background technique [0002] Task allocation is a problem that an enterprise organization must face when it is in office. Tasks in many fields (such as the consulting field) are often not repetitive, and it requires the intelligence and experience of the staff, and it takes a long time. Different tasks take time It's not the same, it's hard to quantify. Specifically, for example, a large consulting company has a large number of professionals and a wide distribution of specialties, and the tasks of each employee are relatively specific, so task assignment is relatively simple. However, small companies have fewer departments, less personnel, and less project experience, and it is often difficult for different employees to find the optimal allocation method for a newly arrived task. In the traditional task a...

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present application solves the problem that the task allocation method based on human cost in the prior art cannot efficiently and reasonably perform task allocation by providing a task allocation method based on reinforcement learning

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