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 unsupported completion…
arXiv - cs.AI2 min read