{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T19:29:55Z","timestamp":1777577395958,"version":"3.51.4"},"reference-count":41,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,6,5]],"date-time":"2022-06-05T00:00:00Z","timestamp":1654387200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,6,5]],"date-time":"2022-06-05T00:00:00Z","timestamp":1654387200000},"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":[[2022,6,5]]},"DOI":"10.1109\/iv51971.2022.9827292","type":"proceedings-article","created":{"date-parts":[[2022,7,19]],"date-time":"2022-07-19T19:33:28Z","timestamp":1658259208000},"page":"1683-1690","source":"Crossref","is-referenced-by-count":19,"title":["Modeling Driver Behavior using Adversarial Inverse Reinforcement Learning"],"prefix":"10.1109","author":[{"given":"Moritz","family":"Sackmann","sequence":"first","affiliation":[{"name":"Institute of Information Technology, FAU Erlangen-Nürnberg,Erlangen,Germany,91058"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Henrik","family":"Bey","sequence":"additional","affiliation":[{"name":"Institute of Information Technology, FAU Erlangen-Nürnberg,Erlangen,Germany,91058"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ulrich","family":"Hofmann","sequence":"additional","affiliation":[{"name":"Pre-Development of Automated Driving, AUDI AG,Ingolstadt,Germany,85045"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jorn","family":"Thielecke","sequence":"additional","affiliation":[{"name":"Institute of Information Technology, FAU Erlangen-Nürnberg,Erlangen,Germany,91058"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","year":"2022"},{"key":"ref38","article-title":"Towards Principled Methods for Training Generative Adversarial Networks","author":"arjovsky","year":"2017","journal-title":"International Conference on Learning Representations"},{"key":"ref33","article-title":"High-Dimensional Continuous Control Using Generalized Advantage Estimation","author":"schulman","year":"2018"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992696"},{"key":"ref31","article-title":"Proximal Policy Optimization Algorithms","author":"schulman","year":"2017"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2018.8569932"},{"key":"ref37","article-title":"Trust Region Policy Optimization","author":"schulman","year":"2015","journal-title":"International Conference on Machine Learning"},{"key":"ref36","article-title":"A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models","author":"finn","year":"2016"},{"key":"ref35","article-title":"Generative Adversarial Nets","volume":"27","author":"goodfellow","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref34","article-title":"Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?","author":"de witt","year":"2020"},{"key":"ref10","article-title":"Learning a Diverse and Cooperative Policy for Predicting Roundabout Traffic Situations","author":"sackmann","year":"2022","journal-title":"14 Workshop Fahrerassistenz und automatisiertes Fahren"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.5194\/isprsarchives-XL-3-W2-9-2015"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015430"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9196795"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1186\/s40648-014-0001-z"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2017.7995797"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2019.8814066"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2019.8814080"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561666"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC48978.2021.9564547"},{"key":"ref19","article-title":"A Taxonomy and Review of Algorithms for Modeling and Predicting Human Driver Behavior","author":"brown","year":"2020"},{"key":"ref28","article-title":"Learning Robust Rewards with Adversarial Inverse Reinforcement Learning","author":"fu","year":"2018","journal-title":"International Conference on Learning Representations"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8594095"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8593758"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2603007"},{"key":"ref6","article-title":"Generative Adversarial Imitation Learning","volume":"29","author":"ho","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9560907"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.62.1805"},{"key":"ref8","article-title":"Causal Confusion in Imitation Learning","author":"de haan","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref7","article-title":"A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning","author":"ross","year":"2011","journal-title":"International Conference on Artificial Intelligence and Statistics"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2017.2788208"},{"key":"ref9","author":"sutton","year":"2018","journal-title":"Reinforcement Learning An Introduction"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC48978.2021.9564408"},{"key":"ref20","article-title":"ALVINN: An Autonomous Land Vehicle in a Neural Network","author":"pomerleau","year":"1989","journal-title":"Advances in neural information processing systems"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2019.XV.031"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2015.7225830"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01026"},{"key":"ref41","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"International Conference on Learning Representations"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC48978.2021.9565113"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2017.7995721"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC48978.2021.9565031"}],"event":{"name":"2022 IEEE Intelligent Vehicles Symposium (IV)","location":"Aachen, Germany","start":{"date-parts":[[2022,6,4]]},"end":{"date-parts":[[2022,6,9]]}},"container-title":["2022 IEEE Intelligent Vehicles Symposium (IV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9826996\/9826997\/09827292.pdf?arnumber=9827292","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,8]],"date-time":"2022-08-08T20:04:06Z","timestamp":1659989046000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9827292\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,5]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/iv51971.2022.9827292","relation":{},"subject":[],"published":{"date-parts":[[2022,6,5]]}}}