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. We present…

Xi Qin, Isabel Kurth, Xin Cui, Elin Park, Alexander Schaefer, Yaad Oren·arXiv — cs.AI

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Key Takeaways

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

This material is provided as an extended analytical summary.

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