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...