{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T15:50:11Z","timestamp":1775145011252,"version":"3.50.1"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,5]],"date-time":"2021-12-05T00:00:00Z","timestamp":1638662400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,5]],"date-time":"2021-12-05T00:00:00Z","timestamp":1638662400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China (NSFC)","doi-asserted-by":"publisher","award":["61803371"],"award-info":[{"award-number":["61803371"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012401","name":"Beijing Science and Technology Plan","doi-asserted-by":"publisher","award":["Z191100007419002"],"award-info":[{"award-number":["Z191100007419002"]}],"id":[{"id":"10.13039\/501100012401","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004826","name":"Beijing Municipal Natural Science Foundation","doi-asserted-by":"publisher","award":["L191002"],"award-info":[{"award-number":["L191002"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,5]]},"DOI":"10.1109\/ssci50451.2021.9660172","type":"proceedings-article","created":{"date-parts":[[2022,1,24]],"date-time":"2022-01-24T21:09:51Z","timestamp":1643058591000},"page":"1-8","source":"Crossref","is-referenced-by-count":15,"title":["A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios"],"prefix":"10.1109","author":[{"given":"Yuqi","family":"Liu","sequence":"first","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences,The State Key Laboratory of Management and Control for Complex Systems"}]},{"given":"Qichao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences,The State Key Laboratory of Management and Control for Complex Systems"}]},{"given":"Dongbin","family":"Zhao","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences,The State Key Laboratory of Management and Control for Complex Systems"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3046646"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341222"},{"key":"ref12","author":"leurent","year":"2018","journal-title":"An Environment for Autonomous Driving Decision-Making"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197228"},{"key":"ref14","first-page":"1","article-title":"CARLA: An open urban driving simulator","author":"dosovitskiy","year":"0","journal-title":"Proceedings of the 1st Annual Conference on Robot Learning"},{"key":"ref15","author":"elsayed","year":"2020","journal-title":"Ultra A reinforcement learning generalization benchmark for autonomous driving"},{"key":"ref16","article-title":"Smarts: Scalable multi-agent reinforcement learning training school for autonomous driving","author":"zhou","year":"2020","journal-title":"ar Xiv preprint"},{"key":"ref17","year":"2021","journal-title":"Scenariorunner for carla"},{"key":"ref18","year":"2020","journal-title":"Requirements of simulation scenario set for automated driving vehicle"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2014.10.008"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-018-3063-7"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI44817.2019.9003029"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2017.2670463"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2012.09.034"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2019.8852110"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2019.2901089"},{"key":"ref2","article-title":"Deep reinforcement learning for autonomous driving: A survey. arxiv 2020","author":"kiran","year":"0","journal-title":"ArXiv Preprint"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2927869"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2983149"},{"key":"ref20","author":"finch","year":"2004","journal-title":"Ornstein-Uhlenbeck Process"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1098\/rsta.2010.0084"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1111\/stan.12021"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2018.8569316"},{"key":"ref23","article-title":"Social attention for autonomous decision-making in dense traffic","author":"leurent","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3043505"},{"key":"ref25","first-page":"1587","article-title":"Addressing function approximation error in actor-critic methods","author":"fujimoto","year":"2018","journal-title":"International Conference on Machine Learning"}],"event":{"name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","location":"Orlando, FL, USA","start":{"date-parts":[[2021,12,5]]},"end":{"date-parts":[[2021,12,7]]}},"container-title":["2021 IEEE Symposium Series on Computational Intelligence (SSCI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9659537\/9659538\/09660172.pdf?arnumber=9660172","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T23:58:14Z","timestamp":1659484694000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9660172\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,5]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/ssci50451.2021.9660172","relation":{},"subject":[],"published":{"date-parts":[[2021,12,5]]}}}