A deep reinforcement learning-based framework for content caching

C Zhong, MC Gursoy… - 2018 52nd Annual …, 2018 - ieeexplore.ieee.org
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 …
被引用次数：243 相关文章
[PDF] researchgate.net

[PDF][PDF] A Deep Reinforcement Learning-Based Framework for Content Caching

C Zhong, MC Gursoy, S Velipasalar - arXiv preprint arXiv …, 2017 - researchgate.net
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 …

A deep reinforcement learning-based framework for content caching

C Zhong, MC Gursoy, S Velipasalar - 52nd Annual Conference on …, 2018 - experts.syr.edu
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 …

A Deep Reinforcement Learning-Based Framework for Content Caching

C Zhong, M Cenk Gursoy, S Velipasalar - arXiv e-prints, 2017 - ui.adsabs.harvard.edu
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 …

A Deep Reinforcement Learning-Based Framework for Content Caching

C Zhong, MC Gursoy, S Velipasalar - arXiv preprint arXiv:1712.08132, 2017 - arxiv.org
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 …