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

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.

By Xi Qin, Isabel Kurth, Xin Cui, Elin Park, Alexander Schaefer, Yaad OrenarXiv - cs.AI

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Originally published by arXiv - cs.AI on Oct 5, 2026.

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