{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:19:55Z","timestamp":1750220395772,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":53,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,11,2]],"date-time":"2021-11-02T00:00:00Z","timestamp":1635811200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Safety Research using Simulation University Transportation Center","award":["69A3551747131"],"award-info":[{"award-number":["69A3551747131"]}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-1942680, CNS-1952085, CMMI-1831140, and DGE-2021871"],"award-info":[{"award-number":["IIS-1942680, CNS-1952085, CMMI-1831140, and DGE-2021871"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,11,2]]},"DOI":"10.1145\/3474717.3483924","type":"proceedings-article","created":{"date-parts":[[2021,11,4]],"date-time":"2021-11-04T22:59:49Z","timestamp":1636066789000},"page":"149-158","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Learning Decision Making Strategies of Non-experts"],"prefix":"10.1145","author":[{"given":"Menghai","family":"Pan","sequence":"first","affiliation":[{"name":"Worcester Polytechnic Institute"}]},{"given":"Xin","family":"Zhang","sequence":"additional","affiliation":[{"name":"Worcester Polytechnic Institute"}]},{"given":"Yanhua","family":"Li","sequence":"additional","affiliation":[{"name":"Worcester Polytechnic Institute"}]},{"given":"Xun","family":"Zhou","sequence":"additional","affiliation":[{"name":"University of Iowa"}]},{"given":"Jun","family":"Luo","sequence":"additional","affiliation":[{"name":"Lenovo Group Limited"}]}],"member":"320","published-online":{"date-parts":[[2021,11,4]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015430"},{"volume-title":"Elementary linear algebra: applications version","author":"Anton Howard","key":"e_1_3_2_1_2_1","unstructured":"Howard Anton and Chris Rorres . 2010. Elementary linear algebra: applications version . John Wiley & Sons . Howard Anton and Chris Rorres. 2010. Elementary linear algebra: applications version. John Wiley & Sons."},{"key":"e_1_3_2_1_3_1","unstructured":"David Barber and Felix V Agakov. 2003. The im algorithm: a variational approach to information maximization. In Advances in neural information processing systems. None.  David Barber and Felix V Agakov. 2003. The im algorithm: a variational approach to information maximization. In Advances in neural information processing systems. None."},{"key":"e_1_3_2_1_4_1","unstructured":"Bluegogo. [n.d.]. Bluegogo bike-sharing services. https:\/\/www.bluegogo.com\/us\/.  Bluegogo. [n.d.]. Bluegogo bike-sharing services. https:\/\/www.bluegogo.com\/us\/."},{"key":"e_1_3_2_1_5_1","volume-title":"Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics. 182--189","author":"Boularias Abdeslam","year":"2011","unstructured":"Abdeslam Boularias , Jens Kober , and Jan Peters . 2011 . Relative entropy inverse reinforcement learning . In Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics. 182--189 . Abdeslam Boularias, Jens Kober, and Jan Peters. 2011. Relative entropy inverse reinforcement learning. In Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics. 182--189."},{"key":"e_1_3_2_1_6_1","volume-title":"Infogan: Interpretable representation learning by information maximizing generative adversarial nets. In Advances in neural information processing systems. 2172--2180.","author":"Chen Xi","year":"2016","unstructured":"Xi Chen , Yan Duan , Rein Houthooft , John Schulman , Ilya Sutskever , and Pieter Abbeel . 2016 . Infogan: Interpretable representation learning by information maximizing generative adversarial nets. In Advances in neural information processing systems. 2172--2180. Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, and Pieter Abbeel. 2016. Infogan: Interpretable representation learning by information maximizing generative adversarial nets. In Advances in neural information processing systems. 2172--2180."},{"key":"e_1_3_2_1_7_1","volume-title":"Towards unsupervised automatic speech recognition trained by unaligned speech and text only. arXiv preprint arXiv:1803.10952","author":"Chen Yi-Chen","year":"2018","unstructured":"Yi-Chen Chen , Chia-Hao Shen , Sung-Feng Huang , and Hung-yi Lee. 2018. Towards unsupervised automatic speech recognition trained by unaligned speech and text only. arXiv preprint arXiv:1803.10952 ( 2018 ). Yi-Chen Chen, Chia-Hao Shen, Sung-Feng Huang, and Hung-yi Lee. 2018. Towards unsupervised automatic speech recognition trained by unaligned speech and text only. arXiv preprint arXiv:1803.10952 (2018)."},{"volume-title":"Multi-target voice conversion without parallel data by adversarially learning disentangled audio representations. arXiv preprint arXiv:1804.02812","year":"2018","key":"e_1_3_2_1_8_1","unstructured":"Ju-chieh Chou, Cheng-chieh Yeh, Hung-yi Lee, and Lin-shan Lee. 2018. Multi-target voice conversion without parallel data by adversarially learning disentangled audio representations. arXiv preprint arXiv:1804.02812 ( 2018 ). Ju-chieh Chou, Cheng-chieh Yeh, Hung-yi Lee, and Lin-shan Lee. 2018. Multi-target voice conversion without parallel data by adversarially learning disentangled audio representations. arXiv preprint arXiv:1804.02812 (2018)."},{"key":"e_1_3_2_1_9_1","unstructured":"Robert T Clemen. 1996. Making hard decisions: an introduction to decision analysis. Brooks\/Cole Publishing Company.  Robert T Clemen. 1996. Making hard decisions: an introduction to decision analysis. Brooks\/Cole Publishing Company."},{"key":"e_1_3_2_1_10_1","volume-title":"Learning robust rewards with adversarial inverse reinforcement learning. arXiv preprint arXiv:1710.11248","author":"Fu Justin","year":"2017","unstructured":"Justin Fu , Katie Luo , and Sergey Levine . 2017. Learning robust rewards with adversarial inverse reinforcement learning. arXiv preprint arXiv:1710.11248 ( 2017 ). Justin Fu, Katie Luo, and Sergey Levine. 2017. Learning robust rewards with adversarial inverse reinforcement learning. arXiv preprint arXiv:1710.11248 (2017)."},{"key":"e_1_3_2_1_11_1","unstructured":"Yong Ge Chuanren Liu Hui Xiong and Jian Chen. 2011. A taxi business intelligence system. In KDD. ACM 735--738.  Yong Ge Chuanren Liu Hui Xiong and Jian Chen. 2011. A taxi business intelligence system. In KDD. ACM 735--738."},{"key":"e_1_3_2_1_12_1","unstructured":"Yong Ge Hui Xiong Alexander Tuzhilin Keli Xiao Marco Gruteser and Michael Pazzani. 2010. An energy-efficient mobile recommender system. In KDD. ACM 899--908.  Yong Ge Hui Xiong Alexander Tuzhilin Keli Xiao Marco Gruteser and Michael Pazzani. 2010. An energy-efficient mobile recommender system. In KDD. ACM 899--908."},{"key":"e_1_3_2_1_13_1","unstructured":"Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in neural information processing systems. 2672--2680.  Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in neural information processing systems. 2672--2680."},{"key":"e_1_3_2_1_14_1","volume-title":"Decision Analysis for Management Judgment","author":"Goodwin Paul","unstructured":"Paul Goodwin and George Wright . 2014. Decision Analysis for Management Judgment 5 th ed. Paul Goodwin and George Wright. 2014. Decision Analysis for Management Judgment 5th ed.","edition":"5"},{"key":"e_1_3_2_1_15_1","unstructured":"Jonathan Ho and Stefano Ermon. 2016. Generative adversarial imitation learning. In Advances in Neural Information Processing Systems. 4565--4573.  Jonathan Ho and Stefano Ermon. 2016. Generative adversarial imitation learning. In Advances in Neural Information Processing Systems. 4565--4573."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1287\/opre.28.1.4"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.267"},{"key":"e_1_3_2_1_18_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba . 2014 . Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014). Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_1_19_1","volume-title":"Danilo Jimenez Rezende, and Max Welling","author":"Kingma Durk P","year":"2014","unstructured":"Durk P Kingma , Shakir Mohamed , Danilo Jimenez Rezende, and Max Welling . 2014 . Semi-supervised learning with deep generative models. In Advances in neural information processing systems. 3581--3589. Durk P Kingma, Shakir Mohamed, Danilo Jimenez Rezende, and Max Welling. 2014. Semi-supervised learning with deep generative models. In Advances in neural information processing systems. 3581--3589."},{"key":"e_1_3_2_1_20_1","volume-title":"Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114","author":"Kingma Diederik P","year":"2013","unstructured":"Diederik P Kingma and Max Welling . 2013. Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114 ( 2013 ). Diederik P Kingma and Max Welling. 2013. Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114 (2013)."},{"key":"e_1_3_2_1_21_1","unstructured":"Tejas D Kulkarni William F Whitney Pushmeet Kohli and Josh Tenenbaum. 2015. Deep convolutional inverse graphics network. In Advances in neural information processing systems. 2539--2547.  Tejas D Kulkarni William F Whitney Pushmeet Kohli and Josh Tenenbaum. 2015. Deep convolutional inverse graphics network. In Advances in neural information processing systems. 2539--2547."},{"key":"e_1_3_2_1_22_1","volume-title":"On information and sufficiency. The annals of mathematical statistics 22, 1","author":"Kullback Solomon","year":"1951","unstructured":"Solomon Kullback and Richard A Leibler . 1951. On information and sufficiency. The annals of mathematical statistics 22, 1 ( 1951 ), 79--86. Solomon Kullback and Richard A Leibler. 1951. On information and sufficiency. The annals of mathematical statistics 22, 1 (1951), 79--86."},{"key":"e_1_3_2_1_23_1","unstructured":"Guillaume Lample Neil Zeghidour Nicolas Usunier Antoine Bordes Ludovic Denoyer and Marc'Aurelio Ranzato. 2017. Fader networks: Manipulating images by sliding attributes. In Advances in neural information processing systems. 5967--5976.  Guillaume Lample Neil Zeghidour Nicolas Usunier Antoine Bordes Ludovic Denoyer and Marc'Aurelio Ranzato. 2017. Fader networks: Manipulating images by sliding attributes. In Advances in neural information processing systems. 5967--5976."},{"key":"e_1_3_2_1_24_1","volume-title":"6th International Conference on Data Analytics","author":"Li P","year":"2017","unstructured":"P Li , Sandjai Bhulai , and JT van Essen . 2017 . Optimization of the revenue of the New York city taxi service using Markov Decision Processes . In 6th International Conference on Data Analytics , Barcelona (Spain), November 12--16. IARIA, 47--52. P Li, Sandjai Bhulai, and JT van Essen. 2017. Optimization of the revenue of the New York city taxi service using Markov Decision Processes. In 6th International Conference on Data Analytics, Barcelona (Spain), November 12--16. IARIA, 47--52."},{"key":"e_1_3_2_1_25_1","volume-title":"Infogail: Interpretable imitation learning from visual demonstrations. In Advances in Neural Information Processing Systems. 3812--3822.","author":"Li Yunzhu","year":"2017","unstructured":"Yunzhu Li , Jiaming Song , and Stefano Ermon . 2017 . Infogail: Interpretable imitation learning from visual demonstrations. In Advances in Neural Information Processing Systems. 3812--3822. Yunzhu Li, Jiaming Song, and Stefano Ermon. 2017. Infogail: Interpretable imitation learning from visual demonstrations. In Advances in Neural Information Processing Systems. 3812--3822."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"crossref","unstructured":"Liang Liu Clio Andris Assaf Biderman and Carlo Ratti. 2010. Revealing Taxi Driver's Mobility Intelligence through His Trace. In Movement-Aware Applications for Sustainable Mobility: Technologies and Approaches. IGI Global 105--120.  Liang Liu Clio Andris Assaf Biderman and Carlo Ratti. 2010. Revealing Taxi Driver's Mobility Intelligence through His Trace. In Movement-Aware Applications for Sustainable Mobility: Technologies and Approaches. IGI Global 105--120.","DOI":"10.4018\/978-1-61520-769-5.ch007"},{"key":"e_1_3_2_1_27_1","unstructured":"Lyft. [n.d.]. Lyft Services. https:\/\/www.lyft.com\/.  Lyft. [n.d.]. Lyft Services. https:\/\/www.lyft.com\/."},{"key":"e_1_3_2_1_28_1","volume-title":"T-share: A large-scale dynamic taxi ridesharing service","author":"Ma Shuo","year":"2013","unstructured":"Shuo Ma , Yu Zheng , and Ouri Wolfson . 2013 . T-share: A large-scale dynamic taxi ridesharing service . In ICDE. IEEE , 410--421. Shuo Ma, Yu Zheng, and Ouri Wolfson. 2013. T-share: A large-scale dynamic taxi ridesharing service. In ICDE. IEEE, 410--421."},{"key":"e_1_3_2_1_29_1","unstructured":"Andrew Y Ng Stuart J Russell etal [n.d.]. Algorithms for inverse reinforcement learning.  Andrew Y Ng Stuart J Russell et al. [n.d.]. Algorithms for inverse reinforcement learning."},{"key":"e_1_3_2_1_30_1","unstructured":"OpenStreetMap contributors. 2017. Planet dump retrieved from https:\/\/planet.osm.org. https:\/\/www.openstreetmap.org.  OpenStreetMap contributors. 2017. Planet dump retrieved from https:\/\/planet.osm.org. https:\/\/www.openstreetmap.org."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3360312"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403186"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611975673.88"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.180"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983689"},{"key":"e_1_3_2_1_36_1","volume-title":"International conference on machine learning. PMLR","author":"Schulman John","year":"2015","unstructured":"John Schulman , Sergey Levine , Pieter Abbeel , Michael Jordan , and Philipp Moritz . 2015 . Trust region policy optimization . In International conference on machine learning. PMLR , 1889--1897. John Schulman, Sergey Levine, Pieter Abbeel, Michael Jordan, and Philipp Moritz. 2015. Trust region policy optimization. In International conference on machine learning. PMLR, 1889--1897."},{"key":"e_1_3_2_1_37_1","unstructured":"Spin. [n.d.]. Spin bike-sharing services. https:\/\/www.spin.pm\/.  Spin. [n.d.]. Spin bike-sharing services. https:\/\/www.spin.pm\/."},{"key":"e_1_3_2_1_38_1","unstructured":"Richard S Sutton Andrew G Barto etal 1998. Introduction to reinforcement learning. Vol. 135. MIT press Cambridge.  Richard S Sutton Andrew G Barto et al. 1998. Introduction to reinforcement learning. Vol. 135. MIT press Cambridge."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.141"},{"key":"e_1_3_2_1_40_1","volume-title":"Representation learning by rotating your faces","author":"Tran Luan","year":"2018","unstructured":"Luan Tran , Xi Yin , and Xiaoming Liu . 2018. Representation learning by rotating your faces . IEEE transactions on pattern analysis and machine intelligence 41, 12 ( 2018 ), 3007--3021. Luan Tran, Xi Yin, and Xiaoming Liu. 2018. Representation learning by rotating your faces. IEEE transactions on pattern analysis and machine intelligence 41, 12 (2018), 3007--3021."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1559-1816.1994.tb00583.x"},{"key":"e_1_3_2_1_42_1","volume-title":"Principles of good practice for decision analytic modeling in health-care evaluation: report of the ISPOR Task Force on Good Research Practices---Modeling Studies. Value in health 6, 1","author":"Weinstein Milton C","year":"2003","unstructured":"Milton C Weinstein , Bernie O'Brien , John Hornberger , Joseph Jackson , Magnus Johannesson , Chris McCabe , and Bryan R Luce . 2003. Principles of good practice for decision analytic modeling in health-care evaluation: report of the ISPOR Task Force on Good Research Practices---Modeling Studies. Value in health 6, 1 ( 2003 ), 9--17. Milton C Weinstein, Bernie O'Brien, John Hornberger, Joseph Jackson, Magnus Johannesson, Chris McCabe, and Bryan R Luce. 2003. Principles of good practice for decision analytic modeling in health-care evaluation: report of the ISPOR Task Force on Good Research Practices---Modeling Studies. Value in health 6, 1 (2003), 9--17."},{"volume-title":"Human-Centric Urban Transit Evaluation and Planning. In 2018 IEEE ICDM","author":"Wu Guojun","key":"e_1_3_2_1_43_1","unstructured":"Guojun Wu , Yanhua Li , Jie Bao , Yu Zheng , Jieping Ye , and Jun Luo . 2018. Human-Centric Urban Transit Evaluation and Planning. In 2018 IEEE ICDM . IEEE , 547--556. Guojun Wu, Yanhua Li, Jie Bao, Yu Zheng, Jieping Ye, and Jun Luo. 2018. Human-Centric Urban Transit Evaluation and Planning. In 2018 IEEE ICDM. IEEE, 547--556."},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"crossref","unstructured":"Jing Yuan Yu Zheng Liuhang Zhang XIng Xie and Guangzhong Sun. 2011. Where to find my next passenger. In Ubicomp. ACM 109--118.  Jing Yuan Yu Zheng Liuhang Zhang XIng Xie and Guangzhong Sun. 2011. Where to find my next passenger. In Ubicomp. ACM 109--118.","DOI":"10.1145\/2030112.2030128"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2012.153"},{"key":"e_1_3_2_1_46_1","volume-title":"Dynamic taxi pricing. Frontiers in Artificial Intelligence and Applications 263 (01","author":"Zeng C","year":"2014","unstructured":"C Zeng and N Oren . 2014. Dynamic taxi pricing. Frontiers in Artificial Intelligence and Applications 263 (01 2014 ), 1135--1136. https:\/\/doi.org\/10.3233\/978-1-61499-419-0-1135 10.3233\/978-1-61499-419-0-1135 C Zeng and N Oren. 2014. Dynamic taxi pricing. Frontiers in Artificial Intelligence and Applications 263 (01 2014), 1135--1136. https:\/\/doi.org\/10.3233\/978-1-61499-419-0-1135"},{"key":"e_1_3_2_1_47_1","volume-title":"f-GALL: Learning f-Divergence for Generative Adversarial Imitation Learning. arXiv preprint arXiv:2010.01207","author":"Zhang Xin","year":"2020","unstructured":"Xin Zhang , Yanhua Li , Ziming Zhang , and Zhi-Li Zhang . 2020. f-GALL: Learning f-Divergence for Generative Adversarial Imitation Learning. arXiv preprint arXiv:2010.01207 ( 2020 ). Xin Zhang, Yanhua Li, Ziming Zhang, and Zhi-Li Zhang. 2020. f-GALL: Learning f-Divergence for Generative Adversarial Imitation Learning. arXiv preprint arXiv:2010.01207 (2020)."},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2019.00194"},{"key":"e_1_3_2_1_49_1","volume-title":"TrajGAIL: Trajectory Generative Adversarial Imitation Learning for Long-term Decision Analysis. In 2020 IEEE International Conference on Data Mining (ICDM). IEEE, 801--810","author":"Zhang Xin","year":"2020","unstructured":"Xin Zhang , Yanhua Li , Xun Zhou , Ziming Zhang , and Jun Luo . 2020 . TrajGAIL: Trajectory Generative Adversarial Imitation Learning for Long-term Decision Analysis. In 2020 IEEE International Conference on Data Mining (ICDM). IEEE, 801--810 . Xin Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, and Jun Luo. 2020. TrajGAIL: Trajectory Generative Adversarial Imitation Learning for Long-term Decision Analysis. In 2020 IEEE International Conference on Data Mining (ICDM). IEEE, 801--810."},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/2629592"},{"key":"e_1_3_2_1_51_1","volume-title":"Hui Zheng, M Zubair Shafiq, and Alex X Liu.","author":"Zhou Xun","year":"2018","unstructured":"Xun Zhou , Huigui Rong , Chang Yang , Qun Zhang , Amin Vahedian Khezerlou , Hui Zheng, M Zubair Shafiq, and Alex X Liu. 2018 . Optimizing Taxi Driver Profit Efficiency: A Spatial Network-based Markov Decision Process Approach. IEEE TBD ( 2018). Xun Zhou, Huigui Rong, Chang Yang, Qun Zhang, Amin Vahedian Khezerlou, Hui Zheng, M Zubair Shafiq, and Alex X Liu. 2018. Optimizing Taxi Driver Profit Efficiency: A Spatial Network-based Markov Decision Process Approach. IEEE TBD (2018)."},{"key":"e_1_3_2_1_52_1","unstructured":"Brian D Ziebart. 2010. Modeling purposeful adaptive behavior with the principle of maximum causal entropy. (2010).  Brian D Ziebart. 2010. Modeling purposeful adaptive behavior with the principle of maximum causal entropy. (2010)."},{"key":"e_1_3_2_1_53_1","volume-title":"AAAI","volume":"8","author":"Ziebart Brian D","year":"2008","unstructured":"Brian D Ziebart , Andrew L Maas , J Andrew Bagnell , and Anind K Dey . 2008 . Maximum Entropy Inverse Reinforcement Learning .. In AAAI , Vol. 8 . Chicago, IL, USA, 1433--1438. Brian D Ziebart, Andrew L Maas, J Andrew Bagnell, and Anind K Dey. 2008. Maximum Entropy Inverse Reinforcement Learning.. In AAAI, Vol. 8. Chicago, IL, USA, 1433--1438."}],"event":{"name":"SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems","sponsor":["SIGSPATIAL ACM Special Interest Group on Spatial Information"],"location":"Beijing China","acronym":"SIGSPATIAL '21"},"container-title":["Proceedings of the 29th International Conference on Advances in Geographic Information Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3474717.3483924","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3474717.3483924","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3474717.3483924","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:18:43Z","timestamp":1750191523000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3474717.3483924"}},"subtitle":["A NEXT-GAIL Model for Taxi Drivers"],"short-title":[],"issued":{"date-parts":[[2021,11,2]]},"references-count":53,"alternative-id":["10.1145\/3474717.3483924","10.1145\/3474717"],"URL":"https:\/\/doi.org\/10.1145\/3474717.3483924","relation":{},"subject":[],"published":{"date-parts":[[2021,11,2]]},"assertion":[{"value":"2021-11-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}