45 citations · 105 across the 21 of their papers we have counts for
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cs.NI2023★ 21 cited
Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization
Hongyang Du, Ruichen Zhang, Yinqiu Liu +10
Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy a…
cs.NI2023★ 9 cited
Diffusion-based Reinforcement Learning for Edge-enabled AI-Generated Content Services
Hongyang Du, Zonghang Li, Dusit Niyato +4
As Metaverse emerges as the next-generation Internet paradigm, the ability to efficiently generate content is paramount. AIGenerated Content (AIGC) emerges as a key solution, yet t…
cs.NI2018★ 5 cited
Reinforcement Learning based QoS/QoE-aware Service Function Chaining in Software-Driven 5G Slices
Xi Chen, Zonghang Li, Yupeng Zhang +4
With the ever growing diversity of devices and applications that will be connected to 5G networks, flexible and agile service orchestration with acknowledged QoE that satisfies end…