标题为英语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…
AI 摘要：要点
- 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…
When Terminal-Agent Training Stalls: Demystifying Data Generation and Verification Challenge
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