{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,7]],"date-time":"2026-01-07T06:11:03Z","timestamp":1767766263528,"version":"3.48.0"},"reference-count":10,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"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":[[2025,10,19]]},"DOI":"10.1109\/vtc2025-fall65116.2025.11310146","type":"proceedings-article","created":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T18:33:45Z","timestamp":1767724425000},"page":"1-7","source":"Crossref","is-referenced-by-count":0,"title":["Dynamic Trajectory Planning for UAV-Assisted Visible Light Communications Using Deep Recurrent Q-Networks"],"prefix":"10.1109","author":[{"given":"Wentao","family":"Ye","sequence":"first","affiliation":[{"name":"Tsinghua University,Shenzhen International Graduate School,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yibin","family":"Wang","sequence":"additional","affiliation":[{"name":"Tsinghua University,Shenzhen International Graduate School,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Li","sequence":"additional","affiliation":[{"name":"Tsinghua University,Shenzhen International Graduate School,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuhan","family":"Dong","sequence":"additional","affiliation":[{"name":"Tsinghua University,Shenzhen International Graduate School,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/comst.2015.2476474"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/mcom.2017.1600238cm"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/lcomm.2019.2916998"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/twc.2020.3007804"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/acp55869.2022.10088512"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/acp\/poem59049.2023.10369190"},{"key":"ref8","first-page":"141","article-title":"Deep recurrent q-learning for partially observable mdps","volume-title":"Proc. AAAI Fall Symposia","volume":"45","author":"Hausknecht"},{"key":"ref9","first-page":"15 032","article-title":"Pettingzoo: Gym for multi-agent reinforcement learning","volume-title":"Proc. Advances in Neural Information Processing Systems","volume":"34","author":"Terry"},{"key":"ref10","first-page":"278","article-title":"Policy invariance under reward transformations: Theory and application to reward shaping","volume-title":"Proc. Icml","volume":"99","author":"Ng"}],"event":{"name":"2025 IEEE 102nd Vehicular Technology Conference (VTC2025-Fall)","start":{"date-parts":[[2025,10,19]]},"location":"Chengdu, China","end":{"date-parts":[[2025,10,22]]}},"container-title":["2025 IEEE 102nd Vehicular Technology Conference (VTC2025-Fall)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11309821\/11309345\/11310146.pdf?arnumber=11310146","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,7]],"date-time":"2026-01-07T06:01:05Z","timestamp":1767765665000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11310146\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,19]]},"references-count":10,"URL":"https:\/\/doi.org\/10.1109\/vtc2025-fall65116.2025.11310146","relation":{},"subject":[],"published":{"date-parts":[[2025,10,19]]}}}