Shunting Trains with Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Shunting Trains with Deep Reinforcement Learning

Published:2018-10 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Peer Evertjan,Menkovski Vlado,Zhang Yingqian,Lee Wan-Jui

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8615119/8615655/08616516.pdf?arnumber=8616516

Cited by 16 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. Rolling Stock Shunt Operation Planning in Urban Rail Transit Depots;2024

2. Validation of Reinforcement Learning Agents and Safety Shields with ProB;Lecture Notes in Computer Science;2024

3. Artificial Intelligence Applied on Traffic Planning and Management for Rail Transport: A Review and Perspective;Discrete Dynamics in Nature and Society;2023-07-27

4. Cooperative train control during the power supply shortage in metro system: A multi-agent reinforcement learning approach;Transportation Research Part B: Methodological;2023-04

5. Train shunting with service scheduling in a high-speed railway depot;Transportation Research Part C: Emerging Technologies;2022-10

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