{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T17:20:14Z","timestamp":1780680014354,"version":"3.54.1"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Royal Academy of Engineering and the Office of the Chief Science Adviser for National Security under the U.K. Intelligence Community Postdoctoral Research","award":["ICRF2324-7-150"],"award-info":[{"award-number":["ICRF2324-7-150"]}]},{"DOI":"10.13039\/501100000266","name":"Engineering and Physical Sciences Research Council","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"crossref"}]},{"name":"U.K. Research and Innovation (UKRI), \u201cTAS-S: Trustworthy Autonomous Systems: Security\u201d","award":["EP\/V026763\/1"],"award-info":[{"award-number":["EP\/V026763\/1"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1109\/tits.2024.3454354","type":"journal-article","created":{"date-parts":[[2024,9,17]],"date-time":"2024-09-17T18:54:13Z","timestamp":1726599253000},"page":"21343-21355","source":"Crossref","is-referenced-by-count":8,"title":["Action Robust Reinforcement Learning for Air Mobility Deconfliction Against Conflict Induced Spoofing"],"prefix":"10.1109","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-9925-4448","authenticated-orcid":false,"given":"Deepak Kumar","family":"Panda","sequence":"first","affiliation":[{"name":"Centre for Autonomous and Cyber-Physical Systems, Cranfield University, Cranfield, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3524-3953","authenticated-orcid":false,"given":"Weisi","family":"Guo","sequence":"additional","affiliation":[{"name":"Centre for Autonomous and Cyber-Physical Systems, Cranfield University, Cranfield, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3082767"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3137458"},{"key":"ref3","volume-title":"Artificial Intelligence Roadmap 2.0","year":"2023"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3317358"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2019.05.003"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2018.2789466"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3317054"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC57777.2023.10422567"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2914477"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.33012\/2023.19271"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2580219"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/aerospace7060079"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2023.3313599"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1518\/hfes.46.2.267.37339"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICABCD.2018.8465408"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2771465"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/S0951-8320(01)00096-5"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.2514\/1.G000737"},{"key":"ref19","article-title":"Optimizing collision avoidance in dense airspace using deep reinforcement learning","author":"Li","year":"2019","journal-title":"arXiv:1912.10146"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.geits.2023.100107"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.2514\/6.2021-1952"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/RIVF.2019.8713624"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.2514\/1.D0296"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.2514\/1.I010973"},{"key":"ref25","article-title":"A survey on reinforcement learning in aviation applications","author":"Razzaghi","year":"2022","journal-title":"arXiv:2211.02147"},{"key":"ref26","first-page":"7","article-title":"Determining optimal conflict avoidance manoeuvres at high densities with reinforcement learning","volume-title":"Proc. 10th SESAR Innov. Days, Virtual Conf.","author":"Ribeiro"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2933524"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2023.3296227"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3111024"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2023.3307134"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1038\/nature24270"},{"issue":"1","key":"ref32","first-page":"1334","article-title":"End-to-end training of deep visuomotor policies","volume":"17","author":"Levine","year":"2016","journal-title":"J. Mach. Learn. Res."},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2023.3237665"},{"issue":"1","key":"ref34","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TIV.2022.3154489","article-title":"Explainable deep adversarial reinforcement learning approach for robust autonomous driving","volume":"1","author":"Wang","year":"2024","journal-title":"IEEE Trans. Intell. Veh."},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3450267.3450537"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9414937"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3390\/s22218085"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3186834"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/VTC2023-Fall60731.2023.10333535"},{"key":"ref40","article-title":"The effect of swarming on a voltage potential-based conflict resolution algorithm","volume-title":"Proc. 7th Int. Conf. Res. Air Transp.","author":"Maas"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.2514\/6.2021-0773"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2011.2168818"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/DASC43569.2019.9081643"},{"key":"ref44","first-page":"2817","article-title":"Robust adversarial reinforcement learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Pinto"},{"key":"ref45","first-page":"6215","article-title":"Action robust reinforcement learning and applications in continuous control","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Tessler"},{"key":"ref46","first-page":"2810","article-title":"Finding mixed Nash equilibria of generative adversarial networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Hsieh"},{"key":"ref47","first-page":"8127","article-title":"Robust reinforcement learning via adversarial training with Langevin dynamics","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Kamalaruban"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-335-6.50027-1"},{"key":"ref49","article-title":"Adaptively preconditioned stochastic gradient Langevin dynamics","author":"Bhardwaj","year":"2019","journal-title":"arXiv:1906.04324"},{"key":"ref50","volume-title":"Gym ATC Attack Project","year":"2024"},{"key":"ref51","volume-title":"Robust Reinforcement Learning via Adversarial Training With Langevin Dynamics","year":"2024"},{"key":"ref52","article-title":"Explainable and safe reinforcement learning for autonomous air mobility","author":"Wang","year":"2022","journal-title":"arXiv:2211.13474"},{"key":"ref53","volume-title":"Unmanned Aircraft System Operations in U.K. Airspace\u2014Policy and Guidance","year":"2024"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6979\/10769775\/10682497.pdf?arnumber=10682497","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,28]],"date-time":"2024-11-28T05:28:35Z","timestamp":1732771715000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10682497\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":53,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tits.2024.3454354","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12]]}}}