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GraphHCA: Closed-Form Hindsight Credit Assignment for Long-Horizon LLM Agents
Group-based reinforcement learning (RL) has advanced large language models (LLMs) and is increasingly extending to agentic tasks, where sparse terminal rewards make step-level credit assignment essential. Existing methods assign credit from what follows an action in sampled rollouts, but do not expl
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