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