A hypernetwork maps continuous physics-informed task embeddings to shared actor-critic weights, mastering four orbital GNC tasks and composing novel ones without retraining, with sim-to-real on a floating platform.
Six degree-of-freedom body-fixed hovering over unmapped asteroids via lidar altimetry and reinforcement meta- learning.Acta Astronautica, 172:90–99, July 2020
1 Pith paper cite this work, alongside 57 external citations. Polarity classification is still indexing.
1
Pith paper citing it
57
external citations · OpenAlex
fields
cs.RO 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks
A hypernetwork maps continuous physics-informed task embeddings to shared actor-critic weights, mastering four orbital GNC tasks and composing novel ones without retraining, with sim-to-real on a floating platform.