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English(EN) Alibaba Qwen Introduces QwenGyre: Elastic Reinforcement Learning RL for XLong-Horizon Agents

Alibaba Qwen 推出 QwenGyre，用于更快的长时域智能体训练 · 跟踪 1 个来源

作者 PulseAugur 编辑部 · [1 个来源] ·

Alibaba 的 Qwen 团队开发了 QwenGyre，这是一个新颖的弹性强化学习框架，旨在显著加速超长时域任务智能体的训练。该系统通过在 rollout 和训练阶段之间动态重新分配 GPU，并创建来自复杂智能体轨迹的有界训练样本，来解决 GPU 资源闲置和智能体历史分支的计算成本等挑战。基准测试表明，QwenGyre 与现有方法相比提供了显著的加速，提高了端到端训练效率。 AI

影响 加速复杂、长时域 AI 智能体任务的训练，可能实现更复杂的应用。

排序理由 研究论文，详细介绍了一种用于 AI 智能体的新训练框架。 [lever_c_demoted from research: ic=1 ai=1.0]

在 MarkTechPost 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Alibaba Qwen 推出 QwenGyre，用于更快的长时域智能体训练 · 跟踪 1 个来源

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研究论文，详细介绍了一种用于 AI 智能体的新训练框架。 [lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. MarkTechPost TIER_1 English(EN) · Asif Razzaq ·

    阿里巴巴Qwen推出QwenGyre：面向XLong-Horizon智能体的弹性强化学习RL

    <p>Alibaba&#8217;s Qwen team has introduced QwenGyre, an elastic reinforcement learning RL framework for extreme-long-horizon agent training. QwenGyre is an online reinforcement learning system from Alibaba that trains coding agents through unmodified, black-box harnesses. It tar…

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