Litcius/Paper detail

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

Larasmoyo Nugroho, Rika Andiarti, Rini Akmeliawati, Ali Türker Kutay, Diva Kartika Larasati, Sastra Kusuma Wijaya

2023Engineering Applications of Artificial Intelligence17 citationsDOIOpen Access PDF

Topics & Concepts

Computer scienceHyperparameterReinforcement learningFunction (biology)Controller (irrigation)Gradient descentFitness functionGenetic algorithmMonte Carlo methodMathematical optimizationArtificial intelligenceAlgorithmMachine learningArtificial neural networkMathematicsAgronomyEvolutionary biologyStatisticsBiologySpacecraft Dynamics and ControlGamma-ray bursts and supernovaeGuidance and Control Systems
Optimization of reward shaping function based on genetic algorithm applied to a cross validated deep deterministic policy gradient in a powered landing guidance problem | Litcius