A framework decouples failure data for value estimation and success data for policy learning in offline RL to reduce collisions in robot navigation while maintaining success rates.
Offline reinforcement learning for visual navigation
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
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cs.RO 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
FeudalNav decomposes visual navigation into hierarchical levels with a visual-similarity latent memory, delivering competitive Habitat AI results without any odometry.
citing papers explorer
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Learning from Demonstration with Failure Awareness for Safe Robot Navigation
A framework decouples failure data for value estimation and success data for policy learning in offline RL to reduce collisions in robot navigation while maintaining success rates.
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FeudalNav: A Simple Framework for Visual Navigation
FeudalNav decomposes visual navigation into hierarchical levels with a visual-similarity latent memory, delivering competitive Habitat AI results without any odometry.