---
id: 20260630-T0-02
title: "新研究提出统一智能体训练范式：通过世界模型规划提升长期决策能力"
title_en: "New Research Proposes Unified Agentic Training for World Model Planning"
url: https://ai.daily.yangsir.net/daily/20260630-T0-02
issue_date: 2026-06-30
publish_date: 2026-06-29T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2606.27483
---

# 新研究提出统一智能体训练范式：通过世界模型规划提升长期决策能力

arXiv上新论文Internalizing the Future提出了一种统一的智能体训练范式。针对大型语言模型（LLM）智能体在长期任务中表现出的被动性，该方法引入了假设推理机制，让模型在执行计划前像人类一样评估潜在后果。通过构建世界模型进行规划，显著提升了智能体在长视野任务中的决策质量。

## English Version

**New Research Proposes Unified Agentic Training for World Model Planning**

A new paper on arXiv titled 'Internalizing the Future' proposes a unified agentic training paradigm. Addressing the reactive nature of LLM agents in long-horizon tasks, this method introduces 'what-if' reasoning, allowing models to evaluate potential plans before commitment like humans. By leveraging world model planning, the approach significantly improves decision quality in sequential tasks.

---

**来源**：[arXiv cs.AI](https://arxiv.org/abs/2606.27483)

**详情页**：https://ai.daily.yangsir.net/daily/20260630-T0-02

---

*智语观潮 · Daily — https://ai.daily.yangsir.net/llms.txt*