In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Specifically, we propose a novel algorithm named PPO-DQN which merging the proximal policy optimization (PPO) and deep Q-network (DQN) algorithm to effectively solve the optimization problem with both ...

Simulation results demonstrate that the proposed DRL-based utility optimization algorithm achieves faster inference speed compared to deep Q network and effectively improves the task processing rate, ...