To address the prolonged task offloading delay in low earth orbit satellite networks,a split task offloading al-gorithm based on deep deterministic policy gradient(DDPG)was proposed for satellite-ground integrated networks.A multi-access edge computing structural model of the satellite-ground integrated network was established for users in dif-ferent regions.By applying a multi-agent DDPG algorithm,the objective of minimizing total system service delay was transformed into maximizing agent reward returns.Under the constraints of sub-task offloading,service delay,and other task offloading conditions,the user task splitting ratio was optimized.Simulation results indicate that the proposed algo-rithm outperforms baseline algorithms in terms of user service delay and the number of benefited users.
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