{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T11:56:08Z","timestamp":1723031768989},"reference-count":13,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Netw. Lett."],"published-print":{"date-parts":[[2020,6]]},"DOI":"10.1109\/lnet.2020.2989130","type":"journal-article","created":{"date-parts":[[2020,4,21]],"date-time":"2020-04-21T20:10:43Z","timestamp":1587499843000},"page":"71-75","source":"Crossref","is-referenced-by-count":13,"title":["Onboard Double Q-Learning for Airborne Data Capture in Wireless Powered IoT Networks"],"prefix":"10.1109","volume":"2","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-0517-2392","authenticated-orcid":false,"given":"Kai","family":"Li","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-4933-594X","authenticated-orcid":false,"given":"Wei","family":"Ni","sequence":"additional","affiliation":[]},{"given":"Bo","family":"Wei","sequence":"additional","affiliation":[]},{"given":"Eduardo","family":"Tovar","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2018.2872429"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2015.2467381"},{"key":"ref12","first-page":"1","article-title":"Learning rates for Q-learning","volume":"5","author":"even-dar","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2018.2861384"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2945037"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2017.2719051"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2017.2772895"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2017.2785414"},{"key":"ref8","first-page":"2613","article-title":"Double Q-learning","author":"hasselt","year":"2010","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGCN.2018.2879023"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2018.2838134"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2790578"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2016.7389838"}],"container-title":["IEEE Networking Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8253410\/9097977\/09075299.pdf?arnumber=9075299","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T13:06:22Z","timestamp":1651064782000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9075299\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6]]},"references-count":13,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/lnet.2020.2989130","relation":{},"ISSN":["2576-3156"],"issn-type":[{"value":"2576-3156","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,6]]}}}