{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,8]],"date-time":"2026-08-08T17:27:44Z","timestamp":1786210064631,"version":"3.56.0"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"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":[[2023,10,1]]},"DOI":"10.1109\/iros55552.2023.10342516","type":"proceedings-article","created":{"date-parts":[[2023,12,13]],"date-time":"2023-12-13T19:17:55Z","timestamp":1702495075000},"page":"649-656","source":"Crossref","is-referenced-by-count":57,"title":["Multi-UAV Adaptive Path Planning Using Deep Reinforcement Learning"],"prefix":"10.1109","author":[{"given":"Jonas","family":"Westheider","sequence":"first","affiliation":[{"name":"Cluster of Excellence PhenoRob, Institute of Geodesy and Geoinformation, University of Bonn"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julius","family":"R\u00fcckin","sequence":"additional","affiliation":[{"name":"Cluster of Excellence PhenoRob, Institute of Geodesy and Geoinformation, University of Bonn"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marija","family":"Popovi\u0107","sequence":"additional","affiliation":[{"name":"Cluster of Excellence PhenoRob, Institute of Geodesy and Geoinformation, University of Bonn"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Dynamic UAV Swarm Deployment for Non-Uniform Coverage","volume-title":"Proc. of the Intl. Conf. on Autonomous Agents and Multi-Agent Systems (AAMAS)","author":"Albani","year":"2018"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-92790-5_24"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.tplants.2018.11.007"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3209811.3209880"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1002\/rob.20226"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989656"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.5772\/57313"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/SSRR.2017.8088150"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1177\/0278364912467485"},{"key":"ref10","article-title":"Graph Neural Networks for Multi-Robot Active Information Acquisition","author":"Tzes","year":"2022","journal-title":"arXiv preprint"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9812025"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2924839"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/OJCOMS.2021.3081996"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341657"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1177\/0278364920916531"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-26564-8_2"},{"key":"ref17","article-title":"CAt-NIPP: Context-Aware Attention-based Network for Informative Path Planning","volume-title":"Proc. of the Conf. on Robot Learning (CoRL)","author":"Cao"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9812190"},{"key":"ref19","article-title":"Unifying temporal and structural credit assignment problems","volume-title":"Proc. of the Intl. Conf. on Autonomous Agents and Multi-Agent Systems (AAMAS)","author":"Agogino","year":"2004"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11794"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-020-09903-2"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2021.110242"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1177\/0278364918755924"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341668"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2943253"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-022-03254-4"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/2.30720"},{"key":"ref28","volume-title":"Reinforcement Learning: An Introduction","author":"Sutton","year":"2018"}],"event":{"name":"2023 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","location":"Detroit, MI, USA","start":{"date-parts":[[2023,10,1]]},"end":{"date-parts":[[2023,10,5]]}},"container-title":["2023 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10341341\/10341342\/10342516.pdf?arnumber=10342516","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,20]],"date-time":"2023-12-20T00:33:36Z","timestamp":1703032416000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10342516\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,1]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/iros55552.2023.10342516","relation":{},"subject":[],"published":{"date-parts":[[2023,10,1]]}}}