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arXiv — cs.AI

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标题为英语DeReAct: Decomposed Reasoning and Acting for Reliable AI Agents

ReAct-based agents typically rely on a single LLM policy to propose actions, interact with the environment, and decide when a task is complete. This coupling makes action authorization and completion control difficult to enforce independently, allowing errors to propagate and…

arXiv — cs.AI作者: Ajay Vohra, Tao Chen, Neeti Narayan, Caron Zhang2026年10月5日 (10月5日)
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  • ReAct-based agents typically rely on a single LLM policy to propose actions, interact with the environment, and decide when a task is complete
  • This coupling makes action authorization and completion control difficult to enforce independently, allowing errors to propagate and…
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DeReAct: Decomposed Reasoning and Acting for Reliable AI Agents

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