An Improved Proximal Policy Optimization Method for Low-Level Control of a Quadrotor

In this paper, a novel deep reinforcement learning algorithm based on Proximal Policy Optimization (PPO) is proposed to achieve the fixed point flight control of a quadrotor. The attitude and position information of the quadrotor is directly mapped to the PWM signals of the four rotors through neura...

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Hlavní autoři:	Wentao Xue, Hangxing Wu, Hui Ye, Shuyi Shao
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2022-04-01
Edice:	Actuators
Témata:	Proximal Policy Optimization (PPO) quadrotor control reinforcement learning
On-line přístup:	https://www.mdpi.com/2076-0825/11/4/105
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