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LLM Value Functions for Credit Assignment in Agentic RL
arXiv:2610.15840v1 Announce Type: cross Abstract: Reinforcement learning (RL) for large language model (LLM) agents remains challenging in long-horizon tasks with sparse outcome rewards, where assigning credit to individual actions is difficult. Methods such as GRPO assign the sa
推荐理由LLM Value Functions for Credit：arXiv:2610.15840v1 Announce Type: cross Abstract: Reinforcement learning (RL) for large。