Multi-target tracking for unmanned aerial vehicle swarms using deep reinforcement learning

Wenhong Zhou; Zhihong Liu; Jie Li; Xin Xu; Lincheng Shen

doi:10.1016/j.neucom.2021.09.044

ScienceGate Book Chapters

JOURNAL ARTICLE

Multi-target tracking for unmanned aerial vehicle swarms using deep reinforcement learning

Wenhong Zhou Zhihong Liu Jie Li Xin Xu Lincheng Shen

Year: 2021 Journal: Neurocomputing Vol: 466 Pages: 285-297 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2021.09.044

Get Full-Text PDF Get Analytical Report

Keywords:

Reinforcement learning Computer science Scalability Artificial intelligence Swarm behaviour Curse of dimensionality Markov decision process Intersection (aeronautics) Machine learning Markov process Mathematics Engineering

Metrics

Cited By

16.59

FWCI (Field Weighted Citation Impact)

Refs

0.99

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

UAV Applications and Optimization

Physical Sciences → Engineering → Aerospace Engineering

Distributed Control Multi-Agent Systems

Physical Sciences → Computer Science → Computer Networks and Communications

Reinforcement Learning in Robotics

Physical Sciences → Computer Science → Artificial Intelligence

Multi-target tracking for unmanned aerial vehicle swarms using deep reinforcement learning

Metrics

Citation History

Topics

Related Documents

Unmanned Aerial Vehicle for Multi-target Tracking Using Pursuit-Evasion Game Model and Deep Reinforcement Learning

Unmanned Aerial Vehicle Proximity Tracking Scheme Using Deep Reinforcement Learning

Deep Reinforcement Learning based Target Detection for Unmanned Aerial Vehicle

Real-Time Deep Learning for Moving Target Detection and Tracking Using Unmanned Aerial Vehicle

Unmanned Aerial Vehicle Swarms