End-to-End Deep Reinforcement Learning for Image-Based UAV Autonomous Control

End-to-End Deep Reinforcement Learning for Image-Based UAV Autonomous Control

To achieve the perception-based autonomous control of UAVs, schemes with onboard sensing and computing are popular in state-of-the-art work, which often consist of several separated modules with respective complicated algorithms. Most methods depend on handcrafted designs and prior models with littl...

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Bibliographic Details
Main Authors: Jiang Zhao, Jiaming Sun, Zhihao Cai, Longhong Wang, Yingxun Wang
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Applied Sciences
Subjects:
Unmanned Aerial Vehicle (UAV)
autonomous control
deep reinforcement learning
end-to-end
deep deterministic policy gradient
Online Access:https://www.mdpi.com/2076-3417/11/18/8419

Internet

https://www.mdpi.com/2076-3417/11/18/8419

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