Expert-Guided Rubrics as Dense Reward Signals for Reinforcement Learning in Non-Verifiable Domains
arXiv 2610.26932v1•84d19607a4df5efdb7bae7398425607cdb62e1dc9bcba8d9ef3d2753ed61f4b4
Paper metadata
- arXiv ID
- 2610.26932
- Version
- v1
- Category
- cs.AI, cs.IR, cs.LG
- Authors
- Ashish Bansal, Hossam Amer, Keerat Kaur Guliani, Parinita Edke, Lesley Matheson, Leizer Teran
- Publication date
- 2026-10-21T04:00:00Z
- Source identifier
- 2610.26932v1
- Public record ID
- record:sha256:84d19607a4df5efdb7bae7398425607cdb62e1dc9bcba8d9ef3d2753ed61f4b4
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Evidence and limitations
- Source ID
- arxiv_research
- Record identifier
- 84d19607a4df5efdb7bae7398425607cdb62e1dc9bcba8d9ef3d2753ed61f4b4
- Record type
- Source metadata
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