RESEARCH

DeReAct: Decomposed Reasoning and Acting for Reliable AI Agents

ArXiv cs.AI · Mon, 05 Oct 2026 04:00:00 GMT

arXiv:2610.02351v1 Announce Type: new Abstract: 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 ind

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