RecoverFly uses failure replay, a scene curriculum, and KL regularization in a PPO-based post-training stage to raise UAV vision-language navigation success rates across seen and unseen environments.
Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments , year =
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
RecoverFly: A Failure-Aware Reinforcement Learning Post-Training Framework for Aerial Vision-Language Navigation
RecoverFly uses failure replay, a scene curriculum, and KL regularization in a PPO-based post-training stage to raise UAV vision-language navigation success rates across seen and unseen environments.