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News/DRACO: Fine-Grained Credit Assignment with Dynamic Rubrics for Long-Horizon Agent Training
arxiv
PublishedSeptember 4, 2026 at 4:00 AM
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DRACO: Fine-Grained Credit Assignment with Dynamic Rubrics for Long-Horizon Agent Training

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Publisher summary· verbatim

arXiv:2609.04094v1 Announce Type: new Abstract: Reinforcement Learning from Verifiable Rewards works well when a task has a programmatic checker, but most long-horizon agent domains have none. We work in the outcome-blind setting, where ground-truth success signals are not available. Multi-criteria

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