{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T19:31:05Z","timestamp":1780774265572,"version":"3.54.1"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2021,8,1]],"date-time":"2021-08-01T00:00:00Z","timestamp":1627776000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,8,1]],"date-time":"2021-08-01T00:00:00Z","timestamp":1627776000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,8,1]],"date-time":"2021-08-01T00:00:00Z","timestamp":1627776000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100004663","name":"Ministry of Science and Technology, Taiwan","doi-asserted-by":"publisher","award":["MOST 108-2218-E-008 -016 -MY2"],"award-info":[{"award-number":["MOST 108-2218-E-008 -016 -MY2"]}],"id":[{"id":"10.13039\/501100004663","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Veh. Technol."],"published-print":{"date-parts":[[2021,8]]},"DOI":"10.1109\/tvt.2021.3094273","type":"journal-article","created":{"date-parts":[[2021,7,2]],"date-time":"2021-07-02T20:09:36Z","timestamp":1625256576000},"page":"8201-8215","source":"Crossref","is-referenced-by-count":44,"title":["Multi-Agent Reinforcement Learning Based 3D Trajectory Design in Aerial-Terrestrial Wireless Caching Networks"],"prefix":"10.1109","volume":"70","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7563-4073","authenticated-orcid":false,"given":"Yu-Jia","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kai-Min","family":"Liao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2777-9355","authenticated-orcid":false,"given":"Meng-Lin","family":"Ku","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fung Po","family":"Tso","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guan-Yi","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2016.7511410"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2015.7248843"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2947929"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2902559"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2961178"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2019.2921482"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2017.2717819"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2929839"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2016.2628032"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2017.2675451"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2020.2973629"},{"key":"ref27","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-030-33384-3","article-title":"Multi-agent reinforcement learning: A selective overview of theories and algorithms","author":"zhang","year":"2020","journal-title":"Studies Syst Decision Control Handbook RL Control"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2011.100411.100541"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ISCC47284.2019.8969672"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2018.1700215"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM38437.2019.9013432"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2922849"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2019.2946864"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.3023733"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2935201"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2920284"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2020.2986289"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2017.2724547"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2018.2792014"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGCN.2017.2767203"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2019.2929131"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2934027"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2019.2907944"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2018.2790401"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2892131"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2017.2789293"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.2968343"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2018.2857211"},{"key":"ref19","article-title":"Enhancement for unmanned aerial vehicles","year":"2019","journal-title":"3GPP"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2902862"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2971772"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2019.2917440"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2891629"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2922039"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2017.2680898"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2900195"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2019.2895088"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/2070942.2070952"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2019.2901829"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2018.2867465"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ISCC47284.2019.8969724"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2019.2907520"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.2973294"},{"key":"ref44","first-page":"10","article-title":"Fully decentralized multi-agent reinforcement learning with networked agents","author":"zhang","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref43","first-page":"780","article-title":"Predicting and preventing coordination problems in cooperative Q-learning systems","author":"fulda","year":"2007","journal-title":"Proc Int Joint Conf Artif Intell"}],"container-title":["IEEE Transactions on Vehicular Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/25\/9514482\/09473012.pdf?arnumber=9473012","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:48:36Z","timestamp":1652194116000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9473012\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8]]},"references-count":50,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tvt.2021.3094273","relation":{},"ISSN":["0018-9545","1939-9359"],"issn-type":[{"value":"0018-9545","type":"print"},{"value":"1939-9359","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,8]]}}}