---
id: 20260407-T0-10
title: "GrandCode：通过智能强化学习实现编程竞赛大师级水平"
title_en: "GrandCode Achieves Grandmaster Level via Agentic RL"
url: https://ai.daily.yangsir.net/daily/20260407-T0-10
issue_date: 2026-04-07
publish_date: 2026-04-06T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2604.02721
---

# GrandCode：通过智能强化学习实现编程竞赛大师级水平

arXiv最新论文GrandCode展示了一种通过智能强化学习（Agentic Reinforcement Learning）使AI在编程竞赛中达到大师级水平的方法。研究显示，当前最佳AI系统Gemini 3 Deep Think仅获得第八名，而人类仍保持显著优势。该研究通过智能体交互与强化学习结合，显著提升了AI在复杂编程任务中的表现，为AI编程能力发展提供了新方向。

## English Version

**GrandCode Achieves Grandmaster Level via Agentic RL**

arXiv paper GrandCode demonstrates achieving grandmaster-level competitive programming through agentic reinforcement learning. The method shows current AI systems like Gemini 3 Deep Think still lag behind humans, ranking 8th best. This approach combines agent interaction with RL to enhance AI performance in complex coding tasks.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2604.02721)

**详情页**：https://ai.daily.yangsir.net/daily/20260407-T0-10

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