Vision-Based Deep Reinforcement Learning of Unmanned Aerial Vehicle (UAV) Autonomous Navigation Using Privileged Information

The capability of UAVs for efficient autonomous navigation and obstacle avoidance in complex and unknown environments is critical for applications in agricultural irrigation, disaster relief and logistics. In this paper, we propose the DPRL (Distributed Privileged Reinforcement Learning) navigation...

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Bibliografski detalji

Glavni autori:	Junqiao Wang, Zhongliang Yu, Dong Zhou, Jiaqi Shi, Runran Deng
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2024-12-01
Serija:	Drones
Teme:	deep reinforcement learning privileged learning multi-agent exploration autonomous UAV navigation collision avoidance
Online pristup:	https://www.mdpi.com/2504-446X/8/12/782
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