A UAV Maneuver Decision-Making Algorithm for Autonomous Airdrop Based on Deep Reinforcement Learning
How to operate an unmanned aerial vehicle (UAV) safely and efficiently in an interactive environment is challenging. A large amount of research has been devoted to improve the intelligence of a UAV while performing a mission, where finding an optimal maneuver decision-making policy of the UAV has be...
Main Authors: | Ke Li, Kun Zhang, Zhenchong Zhang, Zekun Liu, Shuai Hua, Jianliang He |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-03-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/6/2233 |
Similar Items
-
Modeling and Analysis of a Generic Internal Cargo Airdrop System for a Tandem Helicopter
by: Guozhi Li, et al.
Published: (2021-05-01) -
Can airdrop be utilized as a means of promoting zero-footprint logistics for the resupply of the Canadian Forces?
by: Wright, Stephen
Published: (2013) -
Can airdrop be utilized as a means of promoting zero-footprint logistics for the resupply of the Canadian Forces?
by: Wright, Stephen
Published: (2013) -
Batch Prioritization in Multigoal Reinforcement Learning
by: Luiz Felipe Vecchietti, et al.
Published: (2020-01-01) -
Maneuvering target tracking of UAV based on MN-DDPG and transfer learning
by: Bo Li, et al.
Published: (2021-04-01)