---
id: 20260728-T0-07
title: "Molt：专为智能体强化学习打造的PyTorch原生训练框架"
title_en: "Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning"
url: https://ai.daily.yangsir.net/daily/20260728-T0-07
issue_date: 2026-07-28
publish_date: 2026-07-27T04:00:00.000Z
category: tools
source_name: "arXiv cs.LG (ML)"
source_url: https://arxiv.org/abs/2607.21653
---

# Molt：专为智能体强化学习打造的PyTorch原生训练框架

arXiv新论文发布Molt，一个专为智能体强化学习（Agentic RL）设计的可扩展PyTorch原生训练框架。现有主流框架在算法改动（新估计器、新管线阶段、新 rollout 方案）时，需要修改训练器、分布式后端和 rollout 粘合代码等多层结构，效率低下。Molt通过简化架构，使研究者能快速迭代新算法而无需重写底层。

## English Version

**Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning**

A new arXiv paper introduces Molt, a scalable PyTorch-native training framework for agentic reinforcement learning. Existing frameworks require threading changes through trainers, distributed backends, and rollout glue for every algorithm modification. Molt simplifies the architecture, enabling faster iteration on new methods like new estimators and pipeline stages.

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**来源**：[arXiv cs.LG (ML)](https://arxiv.org/abs/2607.21653)

**详情页**：https://ai.daily.yangsir.net/daily/20260728-T0-07

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