Reinforcement Learning-based Traffic Signal Control Using Delayed Observations for V2X-Reference-Cited by-同舟云学术

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Reinforcement Learning-based Traffic Signal Control Using Delayed Observations for V2X

Published:2023-05-28 Issue: Volume: Page:
ISSN:
Container-title:ICC 2023 - IEEE International Conference on Communications
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Author:

Pang Aoyu¹,Xu Zixiao¹,Wang Maonan²,Pun Man-On¹,Kan Yuheng³

Affiliation:

1. School of Science and Engineering, Future Network of Intelligence Institute (FNii), Chinese University of Hong Kong,Shenzhen,China

2. School of Science and Engineering, the Future Network of Intelligence Institute (FNii), the Chinese University of Hong Kong,Shenzhen,China

3. Sense Time Group Limited,Shanghai,China

Funder

National Key R&D Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10278505/10278554/10278944.pdf?arnumber=10278944

Reference9 articles.

1. Control delay in Reinforcement Learning for real-time dynamic systems: A memoryless approach

2. Modeling and Minimizing Latency in Three-tier V2X Networks

3. Exploiting the Flexibility Inside Park-Level Commercial Buildings Considering Heat Transfer Time Delay: A Memory-Augmented Deep Reinforcement Learning Approach

4. IntelliLight

5. Urban traffic signal control using reinforcement learning agents

Cited by 1 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. Scalable Reinforcement Learning Framework for Traffic Signal Control Under Communication Delays;IEEE Open Journal of Vehicular Technology;2024

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