{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T03:41:24Z","timestamp":1730259684500,"version":"3.28.0"},"reference-count":11,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T00:00:00Z","timestamp":1634688000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T00:00:00Z","timestamp":1634688000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T00:00:00Z","timestamp":1634688000000},"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":[],"published-print":{"date-parts":[[2021,10,20]]},"DOI":"10.1109\/ictc52510.2021.9621058","type":"proceedings-article","created":{"date-parts":[[2021,12,7]],"date-time":"2021-12-07T15:49:57Z","timestamp":1638892197000},"page":"1758-1762","source":"Crossref","is-referenced-by-count":0,"title":["Optimization for LEO Satellite-Ground Integrated Networks via Deep Reinforcement Learning"],"prefix":"10.1109","author":[{"given":"Ju-Hyung","family":"Lee","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Young-Chai","family":"Ko","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2955475"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8761378"},{"key":"ref10","first-page":"1146","article-title":"Stabilising experience replay for deep Multi-Agent reinforcement learning","volume":"70","author":"foerster","year":"2017","journal-title":"Proc of the International Conference on Machine Learning (ICML)"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2017.2688328"},{"key":"ref11","first-page":"1928","article-title":"Asynchronous methods for deep reinforcement learning","volume":"48","author":"mnih","year":"2016","journal-title":"Proc Int'l Conf Machine Learning (ICML '05)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM42002.2020.9348105"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2017.2789293"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/GCWkshps45667.2019.9024382"},{"year":"0","key":"ref2"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/VTC2020-Spring48590.2020.9128939"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/GCWkshps45667.2019.9024382"}],"event":{"name":"2021 International Conference on Information and Communication Technology Convergence (ICTC)","start":{"date-parts":[[2021,10,20]]},"location":"Jeju Island, Korea, Republic of","end":{"date-parts":[[2021,10,22]]}},"container-title":["2021 International Conference on Information and Communication Technology Convergence (ICTC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9620727\/9620211\/09621058.pdf?arnumber=9621058","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T12:53:43Z","timestamp":1652187223000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9621058\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,20]]},"references-count":11,"URL":"https:\/\/doi.org\/10.1109\/ictc52510.2021.9621058","relation":{},"subject":[],"published":{"date-parts":[[2021,10,20]]}}}