Reinforcement Learning-Based Flow Management Techniques for Urban Air Mobility and Dense Low-Altitude Air Traffic Operations-Reference-Cited by-同舟云学术

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Reinforcement Learning-Based Flow Management Techniques for Urban Air Mobility and Dense Low-Altitude Air Traffic Operations

Published:2021-10-03 Issue: Volume: Page:
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Container-title:2021 IEEE/AIAA 40th Digital Avionics Systems Conference (DASC)
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Author:

Xie Yibing,Gardi Alessandro,Sabatini Roberto

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9594100/9594288/09594384.pdf?arnumber=9594384

Cited by 9 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. Hybrid AI-based 4D trajectory management system for dense low altitude operations and Urban Air Mobility;Aerospace Science and Technology;2024-10

2. A survey on reinforcement learning in aviation applications;Engineering Applications of Artificial Intelligence;2024-10

3. Recent progress in air traffic flow management: A review;Journal of Air Transport Management;2024-04

4. Evaluating a Reinforcement Learning Approach for Collision Avoidance with Heterogeneous Aircraft;AIAA SCITECH 2024 Forum;2024-01-04

5. Intelligent Vertiport Traffic Flow Management for Scalable Advanced Air Mobility Operations;2023 IEEE/AIAA 42nd Digital Avionics Systems Conference (DASC);2023-10-01

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