MPC cache updating method and system based on multiple agents

The invention relates to a multi-agent-based MPC cache updating method and system, which adopts a brand new logic design, comprehensively considers the overall missing of the cache sequence of each agent about the data to be cached, and trains the cache strategy model for updating the cache sequence of each agent through a centralized training method. A trained cache strategy model corresponding to each agent is obtained, and a decentration execution method is applied to make a decision by using local data and accurately update the cache sequence of each agent under the condition of no data leakage, so that the cache sequence replacement times in the application are reduced, the cache hit rate is increased, and the cache efficiency is improved. According to the method and the system, all the intelligent agents are added, so that the average time consumption of all the intelligent agents in the data loading stage is reduced, the response efficiency of all the intelligent agents to data calling in actual applic