AIBullisharXiv – CS AI · 14h ago7/10
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TimeRewarder: Learning Dense Reward from Passive Videos via Frame-wise Temporal Distance
TimeRewarder is a new machine learning method that learns dense reward signals from passive videos to improve reinforcement learning in robotics. By modeling temporal distances between video frames, the approach achieves 90% success rates on Meta-World tasks using significantly fewer environment interactions than prior methods, while also leveraging human videos for scalable reward learning.