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General Agentic Planning Through Simulative Reasoning with World Models

Mingkai Deng, Jinyu Hou, Zhiting Hu, Eric Xing · Jul 31, 2025

Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 26% Sparse protocol signal Freshness: Cold Status: Ready
Web Browsing General
  • Current agentic systems, whether scaffolded workflows or end-to-end policies, rely on reactive decision-making: selecting the next action via a fixed procedure with at most undifferentiated adaptive computation (e.g., chain-of-thought)…
  • Across all categories, simulative reasoning achieves up to 124% higher task completion rates than a matched reactive baseline, and increases constrained navigation success from 0% to 32.2% compared to a representative open-web agent.
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