{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:48:33Z","timestamp":1767340113753,"version":"3.28.0"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,2,19]],"date-time":"2024-02-19T00:00:00Z","timestamp":1708300800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,2,19]],"date-time":"2024-02-19T00:00:00Z","timestamp":1708300800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["L202002,L222003"],"award-info":[{"award-number":["L202002,L222003"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,2,19]]},"DOI":"10.1109\/icaiic60209.2024.10463212","type":"proceedings-article","created":{"date-parts":[[2024,3,20]],"date-time":"2024-03-20T18:12:10Z","timestamp":1710958330000},"page":"348-353","source":"Crossref","is-referenced-by-count":4,"title":["Scalable and Efficient URLLC Resource Allocation Based on Offline Graph Reinforcement Learning"],"prefix":"10.1109","author":[{"given":"Ren","family":"Jiaqi","sequence":"first","affiliation":[{"name":"Beijing Key Laboratory of Network System Architecture and Convergence, Beijing Laboratory of Advanced Information Networks, Beijing University of Posts and Telecommunications,Beijing,China"}]},{"given":"Wenpeng","family":"Jing","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Network System Architecture and Convergence, Beijing Laboratory of Advanced Information Networks, Beijing University of Posts and Telecommunications,Beijing,China"}]},{"given":"Xiangming","family":"Wen","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Network System Architecture and Convergence, Beijing Laboratory of Advanced Information Networks, Beijing University of Posts and Telecommunications,Beijing,China"}]},{"given":"Zhaoming","family":"Lu","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Network System Architecture and Convergence, Beijing Laboratory of Advanced Information Networks, Beijing University of Posts and Telecommunications,Beijing,China"}]},{"given":"Shuyue","family":"Zhao","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Network System Architecture and Convergence, Beijing Laboratory of Advanced Information Networks, Beijing University of Posts and Telecommunications,Beijing,China"}]}],"member":"263","reference":[{"journal-title":"ITU-R","article-title":"Draft New Recommendation ITU-R M.[IMT.VISION 2030 AND BEYOND]","year":"2022","key":"ref1"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC51071.2022.9771770"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2018.2890418"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2020.3032761"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3241539.3241552"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/infcom.2000.832234"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.008.2200504"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.007.2200286"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2020.3017757"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3078498"},{"key":"ref11","article-title":"Conservative Q-learning for offline reinforcement learning","volume":"abs\/2006.04779","author":"Kumar","year":"2020","journal-title":"ArXiv"},{"key":"ref12","article-title":"Off-policy deep reinforcement learning without exploration","volume":"abs\/1812.02900","author":"Fujimoto","year":"2018","journal-title":"ArXiv"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1812.05905"},{"journal-title":"Technical Specification (TS) 22.104, 3rd Generation Partnership Project (3GPP)","article-title":"Service Requirements for Cyber-Physical Control Applications in Vetical Domains; Protocol specification","year":"2018","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2014.2318726"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2018.2791598"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.011.1900630"}],"event":{"name":"2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","start":{"date-parts":[[2024,2,19]]},"location":"Osaka, Japan","end":{"date-parts":[[2024,2,22]]}},"container-title":["2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10463165\/10463194\/10463212.pdf?arnumber=10463212","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,26]],"date-time":"2024-03-26T19:38:37Z","timestamp":1711481917000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10463212\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2,19]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/icaiic60209.2024.10463212","relation":{},"subject":[],"published":{"date-parts":[[2024,2,19]]}}}