---
id: 20260402-T0-09
title: "World-Action Model增强AI决策能力"
title_en: "World-Action Model Enhances AI Decision-Making"
url: https://ai.daily.yangsir.net/daily/20260402-T0-09
issue_date: 2026-04-02
publish_date: 2026-04-01T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2603.28955
---

# World-Action Model增强AI决策能力

斯坦福大学提出World-Action Model (WAM)，一种结合视觉观察和动作推理的世界模型。与传统仅通过图像预测训练的模型不同，WAM通过动作正则化同时考虑未来状态转换和视觉观测。在机器人导航任务中，WAM的路径规划准确率比传统方法提高28%，能更好处理动态环境中的复杂决策。

## English Version

**World-Action Model Enhances AI Decision-Making**

Stanford introduced the World-Action Model (WAM), which reasons over future visual observations and state transitions simultaneously. Unlike conventional world models trained solely on image prediction, WAM uses action regularization to improve decision-making. In robot navigation tasks, WAM achieves 28% higher path accuracy.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2603.28955)

**详情页**：https://ai.daily.yangsir.net/daily/20260402-T0-09

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