Resource allocation of English intelligent learning system based on reinforcement learning

Abstract

The communication energy efficiency of the English intelligent learning system is affected by many factors. In order to improve the system operation efficiency, it is necessary to carry out analysis from the perspective of the mobile edge server and the system structure. However, there are still many research gaps and deficiencies. Based on a dynamic and heterogeneous English intelligent learning system, this paper designs an adaptive offloading decision algorithm ADCO and an online spring slide task scheduling algorithm SSLS. Moreover, this paper has proposed corresponding solutions to the computational offloading problem and online scheduling problem in a dynamic environment and compared and analyzed the performance of this research algorithm through simulation experiments. The research results show that the method proposed in this paper has certain effects.