Litcius/Paper detail

Adaptive generalized ZEM-ZEV feedback guidance for planetary landing via a deep reinforcement learning approach

Roberto Furfaro, Andrea Scorsoglio, Richard Linares, Mauro Massari

2020Acta Astronautica107 citationsDOIOpen Access PDF

Topics & Concepts

Reinforcement learningContext (archaeology)Computer scienceSpacecraftConstraint (computer-aided design)Field (mathematics)ArchitectureControl engineeringArtificial intelligenceSimulationControl theory (sociology)EngineeringAerospace engineeringControl (management)PaleontologyMechanical engineeringVisual artsBiologyArtPure mathematicsMathematicsSpacecraft Dynamics and ControlRobotic Path Planning AlgorithmsGuidance and Control Systems
Adaptive generalized ZEM-ZEV feedback guidance for planetary landing via a deep reinforcement learning approach | Litcius