The Effects of Rewards on Autonomous Unmanned Aerial Vehicle (UAV) Operations Using Reinforcement Learning

被引：4

作者：

Virani, Hemali ^{[1
]}

Liu, Dahai ^{[2
]}

Vincenzi, Dennis ^{[3
]}

机构：

[1] Embry Riddle Aeronaut Univ, Dept Human Factors & Syst, 1 Aerosp Blvd, Daytona Beach, FL 32114 USA

[2] Embry Riddle Aeronaut Univ, Sch Grad Studies, 1 Aerosp Blvd, Daytona Beach, FL 32114 USA

[3] Embry Riddle Aeronaut Univ, Dept Grad Studies, 1 Aerosp Blvd, Daytona Beach, FL 32114 USA

来源：

UNMANNED SYSTEMS | 2021年 / 9卷 / 04期

关键词：

UAV; reinforcement learning; reward scheme;

D O I：

10.1142/S2301385021500187

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The effects of rewards on the ability of an autonomous UAV controlled by a Reinforcement Learning agent to accomplish a target localization task were investigated. It was shown that with an increase in the reward obtained by a learning agent upon correct detection, systems would become more risk-tolerant, efficient and have a tendency to locate targets faster with an increase in the sensor sensitivity after systems achieve steady-state performance.

引用

页码：349 / 360

页数：12

共 27 条

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