Optimization of Runway Configurations with Forecast-Augmented Offline Reinforcement Learning-Reference-Cited by-同舟云学术

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Optimization of Runway Configurations with Forecast-Augmented Offline Reinforcement Learning

Published:2024-01-04 Issue: Volume: Page:
ISSN:
Container-title:AIAA SCITECH 2024 Forum
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Author:

Nethi Sumanth¹,Memarzadeh Milad¹,Kalyanam Krishnamoorthy¹

Affiliation:

1. NASA Ames Research Center

Publisher

American Institute of Aeronautics and Astronautics

Link

https://arc.aiaa.org/doi/pdf/10.2514/6.2024-0533

Reference11 articles.

1. nautical miles per hour (knots): [0-5), [5-10), [10-15), [15-20), [20-25), and ≥ 25.

2. Data-Driven Modeling and Prediction of the Process for Selecting Runway Configurations

3. A probabilistic decision-making model for runway configuration planning under stochastic wind conditions

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

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