{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T19:32:21Z","timestamp":1771702341060,"version":"3.50.1"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,21]],"date-time":"2020-10-21T00:00:00Z","timestamp":1603238400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,21]],"date-time":"2020-10-21T00:00:00Z","timestamp":1603238400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,21]],"date-time":"2020-10-21T00:00:00Z","timestamp":1603238400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,10,21]]},"DOI":"10.1109\/wcsp49889.2020.9299862","type":"proceedings-article","created":{"date-parts":[[2020,12,28]],"date-time":"2020-12-28T20:48:47Z","timestamp":1609188527000},"page":"672-678","source":"Crossref","is-referenced-by-count":5,"title":["UAV-Enabled Mobile Radiation Source Tracking with Deep Reinforcement Learning"],"prefix":"10.1109","author":[{"given":"Jiangchun","family":"Gu","sequence":"first","affiliation":[]},{"given":"Haichao","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Guoru","family":"Ding","sequence":"additional","affiliation":[]},{"given":"Yitao","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Yutao","family":"Jiao","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","article-title":"Deep reinforcement learning for visual object tracking in videos","author":"zhang","year":"2017"},{"key":"ref11","article-title":"3D spectrum mapping based on ROIdriven UAV deployment","author":"wu","year":"2020"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2902559"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2981092"},{"key":"ref14","author":"sutton","year":"2018","journal-title":"Reinforcement Learning An Introduction"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1038\/nature14236","article-title":"Human-level control through deep reinforcement learning","volume":"518","author":"mnih","year":"2015","journal-title":"Nature"},{"key":"ref16","first-page":"2094","article-title":"Deep reinforcement learning with double Q-learning","author":"hasselt","year":"2016","journal-title":"Proc Of AAAI"},{"key":"ref17","first-page":"1995","article-title":"Dueling network architectures for deep reinforcement learning","author":"wang","year":"2016","journal-title":"Proc of the 33rd Int Conf Machine Learning"},{"key":"ref18","article-title":"Continuous control with deep reinforcement learning","author":"lillicrap","year":"2019"},{"key":"ref19","first-page":"1928","article-title":"Asynchronous methods for deep reinforcement learning","author":"mnih","year":"2016","journal-title":"Proc Int Conf Machine Learn (ICML)"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2015.2506239"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LAWP.2015.2403392"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOMW.2015.7413956"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1049\/iet-rsn.2014.0440"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2016.2603977"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.23919\/JCC.2020.02.009"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2016.2632427"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2018.2855063"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.148"},{"key":"ref20","article-title":"Simultaneous navigation and radio mapping for cellular-connected UAV with deep reinforcement learning","author":"zeng","year":"2020"}],"event":{"name":"2020 International Conference on Wireless Communications and Signal Processing (WCSP)","location":"Nanjing, China","start":{"date-parts":[[2020,10,21]]},"end":{"date-parts":[[2020,10,23]]}},"container-title":["2020 International Conference on Wireless Communications and Signal Processing (WCSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9299574\/9299668\/09299862.pdf?arnumber=9299862","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T15:18:24Z","timestamp":1656602304000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9299862\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,21]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/wcsp49889.2020.9299862","relation":{},"subject":[],"published":{"date-parts":[[2020,10,21]]}}}