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Paper

When LLM Reward Design Fails: Diagnostic-Driven Refinement for Sparse Structured RL

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AI summary

arXiv:2605. 28918v1 Announce Type: new Abstract: For sparse, structured reinforcement-learning tasks with semantic reward-function interfaces, LLM-generated reward shaping is better framed as debugging than one-shot generation.