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基于 Q 学习的多无人机协同航迹规划方法
Translated title of the contribution
:
Q-Learning-based Multi-UAV Cooperative Path Planning Method
Yiyi Yin,
Xiaofang Wang
*
, Jian Zhou
*
Corresponding author for this work
School of Aerospace Engineering
Beijing Institute of Technology
CAS - Institute of Electronics
Xi'an Modern Control Technology Research Institute
Research output
:
Contribution to journal
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Article
›
peer-review
8
Citations (Scopus)
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Computer Science
path planning method
100%
path-planning
50%
Deep Reinforcement Learning
50%
Reinforcement Learning
50%
Neural Network
50%
Markov Decision Process
50%
Learning Algorithm
50%
Selection Strategy
50%
artificial potential field
50%
path planning problem
50%
Application Problem
50%
Process Model
50%
Environment Model
50%
Replanning
50%
Online Application
50%
Engineering
Unmanned Aerial Vehicle
100%
Q-Learning
100%
Cooperative
100%
Path Planning
100%
Collision Avoidance
42%
Reinforcement Learning
28%
Simulation Result
14%
Learning Algorithm
14%
Markov Decision Process
14%
Optimal Path
14%
Selection Strategy
14%
Environment Model
14%
Chemical Engineering
Motion Planning
100%
Reinforcement Learning
50%
Neural Network
25%
Neuroscience
Reinforcement Learning
100%
Neural Network
50%