【第262期】PLAN-AND-ACT:Long-Horizon Tasks Plan Agents episode artwork

EPISODE · Jun 19, 2025 · 16 MIN

【第262期】PLAN-AND-ACT:Long-Horizon Tasks Plan Agents

from Seventy3

Seventy3:借助NotebookLM的能力进行论文解读,专注人工智能、大模型、机器人算法方向,让大家跟着AI一起进步。今天的主题是:Plan-and-Act: Improving Planning of Agents for Long-Horizon TasksSummary这篇文章介绍了一个名为 PLAN-AND-ACT 的新框架,旨在提升大型语言模型 (LLMs) 在执行复杂、多步长任务时的表现。该框架通过将任务分解为 PLANNER(负责生成高层计划)和 EXECUTOR(负责将计划转化为具体操作)两个独立部分来实现这一目标。文章强调了生成准确计划的挑战,并提出了一个通过 合成数据生成 来训练 PLANNER 的可扩展方法。PLAN-AND-ACT 在网页导航任务上取得了最先进的性能,尤其在引入 动态重新规划 后效果显著,证明了分离规划与执行以及高质量规划数据的重要性。...去小宇宙查看完整单集简介前往小宇宙评论区与主播互动

Episode metadata supplied by the publisher feed · Published Jun 19, 2025

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【第262期】PLAN-AND-ACT:Long-Horizon Tasks Plan Agents

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This episode was published on June 19, 2025.

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Seventy3:借助NotebookLM的能力进行论文解读,专注人工智能、大模型、机器人算法方向,让大家跟着AI一起进步。今天的主题是:Plan-and-Act: Improving Planning of Agents for Long-Horizon TasksSummary这篇文章介绍了一个名为 PLAN-AND-ACT 的新框架,旨在提升大型语言模型 (LLMs) 在执行复杂、多步长任务时的表现。该框架通过将任务分解为 PLANNER(负责生成高层计划)和...

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