<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Conghao Zhou</style></author><author><style face="normal" font="default" size="100%">Wen Wu</style></author><author><style face="normal" font="default" size="100%">Hongli He</style></author><author><style face="normal" font="default" size="100%">Peng Yang</style></author><author><style face="normal" font="default" size="100%">Feng Lyu</style></author><author><style face="normal" font="default" size="100%">Nan Cheng</style></author><author><style face="normal" font="default" size="100%">Xuemin (Sherman) Shen</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Deep Reinforcement Learning for Delay-Oriented IoT Task Scheduling in SAGIN</style></title><secondary-title><style face="normal" font="default" size="100%">IEEE Transactions on Wireless Communications </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2021</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&amp;arnumber=9222519</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">20</style></volume><pages><style face="normal" font="default" size="100%">911 - 925</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">2</style></issue></record></records></xml>