@ARTICLE{xu:cim2020,
author={X. {He} and K. {Wang} and W. {Xu}},
journal={IEEE Computational Intelligence Magazine},
title={QoE-Driven Content-Centric Caching With Deep Reinforcement Learning in Edge-Enabled IoT},
year={2019},
volume={14},
number={4},
pages={12-20},
keywords={cache storage;convolutional neural nets;Internet of Things;learning (artificial intelligence);quality of experience;edge caching;edge-enabled IoT;QoE model;caching capacity;maximum QoE;adaptive learning rate methods;Deep RL;QoE-driven content-centric caching;deep reinforcement learning;deep neural network approximator;edge-enabled Internet of Things;signal-to-interference-plus-noise ratio;Reinforcement learning;Internet of Things;Big Data;Biological system modeling;Knowledge transfer;Task analysis;Bio-inspired computing},
doi={10.1109/MCI.2019.2937608},
ISSN={1556-6048},
month={Nov},}