#reward-learning News & Analysis

2 articles tagged with #reward-learning. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

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.

AIBullisharXiv – CS AI · 14h ago6/10

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Learning Preference-Based Objectives from Clinical Narratives for Sequential Treatment Decision-Making

Researchers propose Clinical Narrative-informed Preference Rewards (CN-PR), a machine learning framework that extracts reward signals from patient discharge summaries to train reinforcement learning models for treatment decisions. The approach achieves strong alignment with clinical outcomes, including improved organ support-free days and faster shock resolution, offering a scalable alternative to traditional reward design in healthcare AI.