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Of Errors and Echoes: Responsibility-Aware Credit Assignment for Tool-Use Agents
Reinforcement learning improves tool-use agents, yet fine-grained credit assignment remains challenging even with step-level feedback. An observed error may be inherited from an earlier decision, while multiple responsible decisions may share the same downstream consequence or participate in later r
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