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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Bibliographic Details

Published in:	Drones
Main Authors:	Uicheon Lee, Seonah Lee, Kyonghoon Kim
Format:	Article
Language:	English
Published:	MDPI AG 2025-03-01
Subjects:	MBRL (model-based reinforcement learning) GANs (generative adversarial networks) HER (hindsight experience replay) autonomous flight
Online Access:	https://www.mdpi.com/2504-446X/9/4/264