@inproceedings{3b7d4d3c470a48598642ed8afaf13e39,
title = "Fast and Reliable Offloading via Deep Reinforcement Learning for Mobile Edge Video Computing",
abstract = "In this paper, we propose an adaptive video streaming method which is inspired by deep reinforcement learning in mobile edge computing systems for autonomous driving applications. In fast moving autonomous driving applications, it is challenge to design fast and reliable video streaming (those are obtained by vision-based autonomous vehicles) task offloading. This paper handles this issue inspired by deep Q-network (DQN) which is one of the most well-known deep reinforcement learning algorithms.",
keywords = "Autonomous driving, deep Q-network, mobile edge computing, offloading, reinforcement learning",
author = "Soohyun Park and Yeongeun Kang and Yafei Tian and Joongheon Kim",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 34th International Conference on Information Networking, ICOIN 2020 ; Conference date: 07-01-2020 Through 10-01-2020",
year = "2020",
month = jan,
doi = "10.1109/ICOIN48656.2020.9016591",
language = "英语",
series = "International Conference on Information Networking",
publisher = "IEEE Computer Society",
pages = "10--12",
booktitle = "34th International Conference on Information Networking, ICOIN 2020",
address = "美国",
}