AnalysisAI AgentsOctober 8, 2026

Paper studies when dual-process agents should switch to slow deliberation

Read original source →arxiv.org

arXiv paper examines a fast learned actor that takes every decision, paired with a slow deliberative model invoked on events like uncertainty or detected failure. It compares continuous slow-model execution against event-triggered invocation in real-time, turn-based, and robot-planner settings.

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