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

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

Roberto Furfaro, Andrea Scorsoglio, Richard Linares, Mauro Massari

发表年份
2020
引用次数
104
访问权限
开放获取

关键词

Reinforcement learningContext (archaeology)Computer scienceSpacecraftConstraint (computer-aided design)Field (mathematics)ArchitectureControl engineeringArtificial intelligenceSimulation

相关论文

查看 LEARNING 分类全部论文