Path Planning for UAV Ground Target Tracking via Deep Reinforcement Learning

Path Planning for UAV Ground Target Tracking via Deep Reinforcement Learning

In this paper, we focus on the study of UAV ground target tracking under obstacle environments using deep reinforcement learning, and an improved deep deterministic policy gradient (DDPG) algorithm is presented. A reward function based on line of sight and artificial potential field is constructed t...

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Bibliographic Details
Main Authors: Bohao Li, Yunjie Wu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
DDPG
deep reinforcement learning
obstacle avoidance
target tracking
UAV
Online Access:https://ieeexplore.ieee.org/document/8984371/

Internet

https://ieeexplore.ieee.org/document/8984371/

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