Adaptive guidance and integrated navigation with reinforcement meta-learning

This paper proposes a novel adaptive guidance system developed using reinforcement meta-learning with a recurrent policy and value function approximator. The use of recurrent network layers allows the deployed policy to adapt in real time to environmental forces acting on the agent. We compare the p...

Full description

Saved in:

Bibliographic Details
Published in:	Acta astronautica Vol. 169; pp. 180 - 190
Main Authors:	Gaudet, Brian, Linares, Richard, Furfaro, Roberto
Format:	Journal Article
Language:	English
Published:	Elmsford Elsevier Ltd 01.04.2020 Elsevier BV
Subjects:	Adaptive systems Asteroids Doppler radar Engine failure Guidance Guidance (motion) Landing guidance Learning Lidar Mars Mars environment Mars landing Meta learning Navigation Radio altimeters Reinforcement learning Guidance Reinforcement learning Landing guidance Meta learning
ISSN:	0094-5765, 1879-2030
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!