| Deep reinforcement learning in transportation research: A review NP Farazi, B Zou, T Ahamed, L Barua Transportation research interdisciplinary perspectives 11, 100425, 2021 | 125 | 2021 |
| Deep reinforcement learning for crowdsourced urban delivery T Ahamed, B Zou, NP Farazi, T Tulabandhula Transportation Research Part B: Methodological 152, 227-257, 2021 | 34 | 2021 |
| Deep reinforcement learning for crowdsourced urban delivery: System states characterization, heuristics-guided action choice, and rule-interposing integration T Ahamed, B Zou, NP Farazi, T Tulabandhula arXiv preprint arXiv:2011.14430, 2020 | 7 | 2020 |
| Multi-tier adaptive memory programming and cluster-and job-based relocation for distributed on-demand crowdshipping T Ahamed, B Zou arXiv preprint arXiv:2105.13845, 2021 | 2 | 2021 |
| Towards Urban Delivery Innovations: Macro-and Micro-Level Models of Crowdshipping T Ahamed University of Illinois at Chicago, 2022 | | 2022 |
| Deep reinforcement learning and transportation research: A comprehensive review NP Farazi, T Ahamed, L Barua, B Zou arXiv preprint arXiv:2010.06187, 2020 | | 2020 |
Bo ZouUniversity of Illinois Chicago在 uic.edu 的电子邮件经过验证
