A State-Compensated Deep Deterministic Policy Gradient Algorithm for UAV Trajectory Tracking

A State-Compensated Deep Deterministic Policy Gradient Algorithm for UAV Trajectory Tracking

The unmanned aerial vehicle (UAV) trajectory tracking control algorithm based on deep reinforcement learning is generally inefficient for training in an unknown environment, and the convergence is unstable. Aiming at this situation, a Markov decision process (MDP) model for UAV trajectory tracking i...

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Bibliographic Details
Main Authors: Jiying Wu, Zhong Yang, Luwei Liao, Naifeng He, Zhiyong Wang, Can Wang
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Machines
Subjects:
trajectory tracking
deep reinforcement learning
deep deterministic policy gradient algorithm
state compensation network
Online Access:https://www.mdpi.com/2075-1702/10/7/496

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https://www.mdpi.com/2075-1702/10/7/496

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