{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T01:20:45Z","timestamp":1775179245948,"version":"3.50.1"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3127105","type":"journal-article","created":{"date-parts":[[2021,11,9]],"date-time":"2021-11-09T20:38:06Z","timestamp":1636490286000},"page":"151983-151992","source":"Crossref","is-referenced-by-count":28,"title":["Tactical Decision-Making for Autonomous Driving Using Dueling Double Deep Q Network With Double Attention"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7479-2504","authenticated-orcid":false,"given":"Shuwei","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6191-7793","authenticated-orcid":false,"given":"Yutian","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Harutoshi","family":"Ogai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hiroshi","family":"Inujima","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shigeyuki","family":"Tateno","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.3141\/1999-10"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.62.1805"},{"key":"ref33","first-page":"3215","article-title":"Rainbow: Combining improvements in deep reinforcement learning","author":"hessel","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICNN.1994.374604"},{"key":"ref31","first-page":"3207","article-title":"Deep reinforcement learning that matters","volume":"32","author":"henderson","year":"2018","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref30","author":"sutton","year":"2018","journal-title":"Reinforcement Learning An Introduction"},{"key":"ref37","author":"leurent","year":"2018","journal-title":"An Environment for Autonomous Driving Decision-Making"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref35","article-title":"The history began from AlexNet: A comprehensive survey on deep learning approaches","author":"alom","year":"2018","journal-title":"arXiv 1803 01164"},{"key":"ref34","article-title":"Social attention for autonomous decision-making in dense traffic","author":"leurent","year":"2019","journal-title":"arXiv 1911 12250"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1002\/rob.20248"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.23919\/SICE48898.2020.9240387"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.2352\/ISSN.2470-1173.2017.19.AVM-023"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2743240"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1561\/9781680835397"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992698"},{"key":"ref16","article-title":"Playing atari with deep reinforcement learning","author":"mnih","year":"2013","journal-title":"arXiv 1312 5602"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref18","first-page":"2094","article-title":"Deep reinforcement learning with double Q-learning","volume":"30","author":"van hasselt","year":"2016","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref19","first-page":"1995","article-title":"Dueling network architectures for deep reinforcement learning","author":"wang","year":"2016","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1002\/rob.20255"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2019.8852110"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-control-060117-105157"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2018.8569448"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3024655"},{"key":"ref5","article-title":"Towards a functional system architecture for automated vehicles","author":"ulbrich","year":"2017","journal-title":"arXiv 1703 08557"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/BF02204836"},{"key":"ref8","author":"sethi","year":"2012","journal-title":"Hierarchical Decision Making in Stochastic Manufacturing Systems"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/0191-2615(86)90012-3"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2016.2602005"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1002\/rob.20258"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2019.2955905"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-8285-7_8"},{"key":"ref22","article-title":"Tactical decision making for lane changing with deep reinforcement learning","author":"mukadam","year":"2017","journal-title":"Proc NIPS Workshop Mach Learn Intell Transp Syst"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2018.8569568"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/app9204363"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00928-1_48"},{"key":"ref26","first-page":"432","article-title":"An introductory survey on attention mechanisms in NLP problems","author":"hu","year":"2019","journal-title":"Proc SAI Intell Syst Conf"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00318"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09609990.pdf?arnumber=9609990","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,2,28]],"date-time":"2022-02-28T21:55:21Z","timestamp":1646085321000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9609990\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3127105","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}