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Expert-Guided Rubrics as Dense Reward Signals for Reinforcement Learning in Non-Verifiable Domains
Not provided in the abstract
reinforcement learningexpert judgmentnon-verifiable domainsreward signals
2610.26932
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2h ago70%
Abstract
This paper presents a method for improving reinforcement learning in non-verifiable domains by converting expert judgment into dense rewards.
Reality Card
Core Claim
The proposed method improves retrieval performance metrics by utilizing expert judgment to create dense rewards, leading to up to 6.7% improvement in MRR@3.
Method / Result
Improvements of up to 6.7% in MRR@3 compared with sparse-reward baselines.
Limitations
The reliance on scarce subject-matter expert judgment may limit the scalability and reproducibility of the approach.
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