Optimization of reward shaping function based on genetic algorithm applied to a cross validated deep deterministic policy gradient in a powered landing guidance problem

One major capability of a Deep Reinforcement Learning (DRL) agent to control a specific vehicle in an environment without any prior knowledge is decision-making based on a well-designed reward shaping function. An important but little-studied major factor that can alter significantly the training re...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 120; S. 105798
Hauptverfasser:	Nugroho, Larasmoyo, Andiarti, Rika, Akmeliawati, Rini, Kutay, Ali Türker, Larasati, Diva Kartika, Wijaya, Sastra Kusuma
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.04.2023
Schlagworte:	DDPG Fitness GA-search Reusable launch vehicle Reward shaping function Reward shaping function DDPG Reusable launch vehicle GA-search Fitness
ISSN:	0952-1976, 1873-6769
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!