GAN-powered Deep Distributional Reinforcement Learning for Resource Management in Network Slicingcs.LG
Paper proposes GAN-DDQN for efficient resource allocation in network slicing.
problem Efficient resource allocation in network slicing with varying service demands.
method Leverage deep reinforcement learning with GAN-DDQN to minimize SSR and SE discrepancies.
result Proposed GAN-DDQN and Dueling GAN-DDQN algorithms improve resource allocation efficiency.