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SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning

SOLE-R1 is a video-language reasoning model providing dense progress rewards for online robot reinforcement learning, enabling zero-shot unseen manipulation without ground-truth rewards and outperforming prior vision-language rewarders with less reward hacking.

Philip Schroeder, Thomas Weng, Karl Schmeckpeper, Eric Rosen and 2 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 4/5