most citedEffective Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning

9 citations · 9 across the 2 of their papers we have counts for

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cs.LG2023

One is More: Diverse Perspectives within a Single Network for Efficient DRL

Yiqin Tan, Ling Pan, Longbo Huang

Deep reinforcement learning has achieved remarkable performance in various domains by leveraging deep neural networks for approximating value functions and policies. However, using…

cs.LG2022★ 9 cited

Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning

Pihe Hu, Ling Pan, Yu Chen +2

Multi-user delay constrained scheduling is important in many real-world applications including wireless communication, live streaming, and cloud computing. Yet, it poses a critical…