Data-Efficient Reinforcement Learning Framework for Autonomous Flight Based on Real-World Flight Data
Recently, autonomous flight has emerged as a key technology in the aerospace and defense sectors; however, traditional code-based autonomous flight systems face limitations in complex environments. Although reinforcement learning offers an alternative, its practical application in real-world setting...
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| Main Authors: | Uicheon Lee, Seonah Lee, Kyonghoon Kim |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
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| Series: | Drones |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-446X/9/4/264 |
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