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DeReAct: Decomposed Reasoning and Acting for Reliable AI Agents
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
DeReAct introduces a modular AI agent architecture using external Critic gating policies to independently validate actions and completions.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 5 October 2026
- Collected by OneBench
- 6 Oct 2026, 03:02 UK
- Original headline
- DeReAct: Decomposed Reasoning and Acting for Reliable AI Agents ↗
Stored source excerpt
arXiv:2610.02351v1 Announce Type: cross Abstract: ReAct-based agents typically rely on a single LLM policy to propose actions, interact with the environment, and decide when a…
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