A reinforcement learning approach for flight rerouting in space launch failure scenarios with dynamic debris hazards
The burgeoning convergence of space launch activities and air traffic management emphasize the importance of efficient communication mechanism in response to potential risks posed by debris from launch failures. By utilizing a Monte Carlo simulation for debris dispersion and the Average Shift Hist...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/179812 |