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When LLM Reward Design Fails: Diagnostic-Driven Refinement for Sparse Structured RL
当大模型奖励设计失效时，这篇论文提出诊断驱动方案，用稀疏结构化RL来迭代优化，给AI训练提供新思路。
arXiv:2605.28918v1 Announce Type: new Abstract: For sparse, structured reinforcement-learning tasks with semantic reward-function interfaces, LLM-gene…