12 citations · 13 across the 3 of their papers we have counts for
4 papers · 1 filter
Deep Multi-Agent Reinforcement Learning Based Cooperative Edge Caching in Wireless Networks
Chen Zhong, M. Cenk Gursoy, Senem Velipasalar
The growing demand on high-quality and low-latency multimedia services has led to much interest in edge caching techniques. Motivated by this, we in this paper consider edge cachin…
Actor-Critic Deep Reinforcement Learning for Dynamic Multichannel Access
Chen Zhong, Ziyang Lu, M. Cenk Gursoy +1
We consider the dynamic multichannel access problem, which can be formulated as a partially observable Markov decision process (POMDP). We first propose a model-free actor-critic d…
Learning-Based Delay-Aware Caching in Wireless D2D Caching Networks
Yi Li, Chen Zhong, M. Cenk Gursoy +1
Recently, wireless caching techniques have been studied to satisfy lower delay requirements and offload traffic from peak periods. By storing parts of the popular files at the mobi…
A Deep Reinforcement Learning-Based Framework for Content Caching
Chen Zhong, M. Cenk Gursoy, Senem Velipasalar
Content caching at the edge nodes is a promising technique to reduce the data traffic in next-generation wireless networks. Inspired by the success of Deep Reinforcement Learning (…