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Esteban Martinez Licon

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Large Reward Models: Generalizable Online Robot Reward Generation with Vision-Language Models

This paper proposes Large Reward Models (LRMs), a framework that adapts foundation VLMs into frame-level reward generators for robot policy refinement, and shows that LRM progress rewards provide the strongest non-privileged online refinement signal, improving the IL baseline and narrowing the gap to privileged environ...

Yan-Ru Wu, Wei-Duo Yuan, Esteban Martinez Licon et al. · 16 citations · ⚡1

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