Deep reinforcement learning in transportation research: A review

Deep reinforcement learning in transportation research: A review

Applying and adapting deep reinforcement learning (DRL) to tackle transportation problems is an emerging interdisciplinary field. While rapidly growing, a comprehensive and synthetic review of existing DRL applications and adaptations in transportation research remains missing. The objective of this...

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Bibliographic Details
Main Authors: Nahid Parvez Farazi, Bo Zou, Tanvir Ahamed, Limon Barua
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:Transportation Research Interdisciplinary Perspectives
Subjects:
Deep reinforcement learning
Transportation research
Application domain
Literature review
Synthetic discussion
Online Access:http://www.sciencedirect.com/science/article/pii/S2590198221001317

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http://www.sciencedirect.com/science/article/pii/S2590198221001317

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