Adaptive Traffic Signal Control with Deep Recurrent Q-learning-Reference-Cited by-同舟云学术

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Adaptive Traffic Signal Control with Deep Recurrent Q-learning

Published:2018-06 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE Intelligent Vehicles Symposium (IV)
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Author:

Zeng Jinghong,Hu Jianming,Zhang Yi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8472796/8500355/08500414.pdf?arnumber=8500414

Cited by 48 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A deep reinforcement learning traffic control model for Pedestrian and vehicle evacuation in the parking lot;Physica A: Statistical Mechanics and its Applications;2024-07

2. Digital Twin-Enhanced Adaptive Traffic Signal Framework under Limited Synchronization Conditions;Sustainability;2024-06-27

3. First steps towards real-world traffic signal control optimisation by reinforcement learning;Journal of Simulation;2024-06-25

4. A Comparative Study of Traffic Signal Control Based on Reinforcement Learning Algorithms;World Electric Vehicle Journal;2024-06-04

5. Dealing with uncertainty: Balancing exploration and exploitation in deep recurrent reinforcement learning;Knowledge-Based Systems;2024-06

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