Reinforcement learning in transportation research: Frontiers and future directions
The development of reinforcement learning (RL) provides innovative solutions for various decision-making problems in transportation, often pertaining to integrating advanced vehicular technologies such as connected and autonomous vehicles and electric vehicles. This paper reviews transportation rese...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
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| Series: | Multimodal Transportation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772586324000455 |
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