{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T17:50:07Z","timestamp":1772905807851,"version":"3.50.1"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"23","license":[{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000923","name":"Australian Research Council through the Linkage Project","doi-asserted-by":"publisher","award":["LP190100594"],"award-info":[{"award-number":["LP190100594"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Discovery Project","award":["DP220100580"],"award-info":[{"award-number":["DP220100580"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2025,12,1]]},"DOI":"10.1109\/jiot.2025.3535148","type":"journal-article","created":{"date-parts":[[2025,1,27]],"date-time":"2025-01-27T14:05:24Z","timestamp":1737986724000},"page":"49009-49021","source":"Crossref","is-referenced-by-count":6,"title":["Mobility-as-a-Resilience Service in Internet of Robotic Things Through Robust Multiagent Deep Reinforcement Learning"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-6368-8204","authenticated-orcid":false,"given":"Shi","family":"Li","sequence":"first","affiliation":[{"name":"School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, VIC, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0306-2691","authenticated-orcid":false,"given":"Jiong","family":"Jin","sequence":"additional","affiliation":[{"name":"School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, VIC, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9145-171X","authenticated-orcid":false,"given":"Mahbuba","family":"Afrin","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Perth, WA, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0180-0897","authenticated-orcid":false,"given":"Xiaohua","family":"Ge","sequence":"additional","affiliation":[{"name":"School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, VIC, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4615-8391","authenticated-orcid":false,"given":"Jing","family":"Fu","sequence":"additional","affiliation":[{"name":"School of Engineering, STEM College, RMIT University, Melbourne, VIC, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8709-5625","authenticated-orcid":false,"given":"Yu-Chu","family":"Tian","sequence":"additional","affiliation":[{"name":"School of Computer Science, Queensland University of Technology, Brisbane, QLD, Australia"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCS.2018.00033"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2021.3061435"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2022.3179399"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2879579"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2023.3272696"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2022.3143013"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2023.3327959"},{"key":"ref8","first-page":"6382","article-title":"Multi-agent actor-critic for mixed cooperative-competitive environments","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst. (NeurIPS)","volume":"30","author":"Lowe"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1186\/s13638-020-01801-6"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2022.3188473"},{"key":"ref11","first-page":"10571","article-title":"Robust multi-agent reinforcement learning with model uncertainty","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","volume":"33","author":"Zhang"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2021.3102379"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2021.3096673"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2935201"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2020.3022173"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IROS55552.2023.10342342"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/IROS47612.2022.9981319"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.iot.2024.101185"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2019.12.560"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3051418"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO56248.2022.00032"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2024.07.038"},{"issue":"6","key":"ref23","first-page":"929","article-title":"Review on state-of-the-art dynamic task allocation strategies for multiple-robot systems","volume":"47","author":"Seenu","year":"2020","journal-title":"Ind. Robot, Int. J. Robot. Res. Appl."},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICAR53236.2021.9659387"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2901791"},{"key":"ref26","first-page":"7193","article-title":"Online robust reinforcement learning with model uncertainty","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","volume":"34","author":"Wang"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2016.7470932"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ITC-CSCC.2019.8793395"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2014.2342736"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3390\/electronics10212603"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3168295"},{"issue":"1","key":"ref32","first-page":"3483","article-title":"Multi-objective reinforcement learning using sets of Pareto dominating policies","volume":"15","author":"Van Moffaert","year":"2014","journal-title":"J. Mach. Learn. Res."},{"key":"ref33","volume-title":"Reinforcement Learning: An Introduction","author":"Sutton","year":"2018"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2023.3307134"},{"key":"ref35","first-page":"68121","article-title":"Robust multi-agent reinforcement learning via adversarial regularization: Theoretical foundation and stable algorithms","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","volume":"36","author":"Bukharin"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2021.3103602"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCChina.2018.8641189"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488907\/11261327\/10855408.pdf?arnumber=10855408","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T18:43:29Z","timestamp":1763664209000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10855408\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,1]]},"references-count":37,"journal-issue":{"issue":"23"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2025.3535148","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12,1]]}}}