Airport Runway Configuration Management with Offline Model-Free Reinforcement Learning
Author:
Affiliation:
1. NASA Ames Research Center
Publisher
American Institute of Aeronautics and Astronautics
Link
https://arc.aiaa.org/doi/pdf/10.2514/6.2023-0504
Reference16 articles.
1. Data-Driven Modeling and Prediction of the Process for Selecting Runway Configurations
2. A probabilistic decision-making model for runway configuration planning under stochastic wind conditions
3. Dynamic Control of Runway Configurations and of Arrival and Departure Service Rates at JFK Airport Under Stochastic Queue Conditions
4. Integrated Surface–Airspace Model of Airport Departures
5. A Survey of Monte Carlo Tree Search Methods
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1. Mining Airport Runway Configurations from Flight Trajectories;Journal of Aerospace Information Systems;2024-03
2. Predicting Airport Runway Configurations for Decision-Support Using Supervised Learning;2023 IEEE/AIAA 42nd Digital Avionics Systems Conference (DASC);2023-10-01
3. Intrinsic Explainable Self-Enforcing Networks Using the ICON-D2-Ensemble Prediction System for Runway Configurations;ITISE 2023;2023-07-03
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