End-to-End Delay Minimization for IPv6 Power Communication Networks Based on Deep Deterministic Policy Gradient
An end-to-end delay minimization method for IPv6 power communication networks based on Deep Deterministic Policy Gradient (DDPG) is proposed to address the problems of poor dynamic adaptability, low efficiency in high-dimensional resource optimization, and insufficient convergence of delay in complex business scenarios...