Bandit Algorithms for Online Learning and Resource Allocation
| 项目名称： | Bandit Algorithms for Online Learning and Resource Allocation |
| 摘要： | Online platforms are emerging as a powerful mechanism for matching resources to requests. In the setting of freight, the requests arrive from shippers, who have a diverse collection of goods. The resources are supplied by shippers (trucks), and have various physical constraints (driver�s route preferences, carrying capacity, geographic preferences, etc.). Online platforms are emerging that (a) learn the characteristics of shippers and carriers, and (b) efficiently match goods to trucks based on such learning. This project will develop algorithms for such online resource allocation. This is a challenging problem, due to the complexity of the learning tasks. Such algorithms can have considerable impact on efficiently using trucking resources. |
| 状态： | Completed |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 项目负责人： | Bhat, Chandra |
| 执行机构： | Data-Supported Transportation Operations and Planning Center |
| 主要研究人员： | Shakkottai, Sanjay |
| 开始时间： | 20170101 |
| 预计完成日期： | 20180831 |
| 实际结束时间： | 0 |
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