# When Terminal-Agent Training Stalls: Demystifying Data Generation and Verification Challenge

> 全文为英语

**Published:** 2026年10月5日
**Author:** Xi Qin, Isabel Kurth, Xin Cui, Elin Park, Alexander Schaefer, Yaad Oren
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/zh/articles/when-terminal-agent-training-stalls-demystifying-data-generation-and-ver

Using a frontier model like Claude Opus as a meta-agent to generate terminal tasks and verifiers for RL training is increasingly common. Yet a runnable Docker image and executable test suite do not guarantee a faithful end-to-end pipeline for terminal agent training. We present…

> 内容来自原始来源： **arXiv — cs.AI**
> [在 arXiv — cs.AI 阅读全文](https://arxiv.org/abs/2610.02405)

**标签：** #Anthropic #arXiv

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