UAV Dynamic Object Tracking with Lightweight Deep Vision Reinforcement Learning

Several approaches have applied Deep Reinforcement Learning (DRL) to Unmanned Aerial Vehicles (UAVs) to do autonomous object tracking. These methods, however, are resource intensive and require prior knowledge of the environment, making them difficult to use in real-world applications. In this paper...

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Detalles Bibliográficos

Principais autores:	Hy Nguyen, Srikanth Thudumu, Hung Du, Kon Mouzakis, Rajesh Vasa
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2023-04-01
Series:	Algorithms
Assuntos:	deep Q-network (DQN) deep deterministic policy gradient (DDPG) deep reinforcement learning (DRL) object tracking object detection unmanned aerial vehicle (UAV)
Acceso en liña:	https://www.mdpi.com/1999-4893/16/5/227
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