Terminal-agent training stalls; diagnosing data generation, verification, and failure classes in a meta-agent pipeline using Claude Opus as a frontier model
Read the original at arxiv.org→arXiv:2610.02405v1 Announce Type: new Abstract: 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...
Original headline: "When Terminal-Agent Training Stalls: Demystifying Data Generation and Verification Challenge"
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- Oct 5, 04:00 UTC arXiv cs.AI lead source When Terminal-Agent Training Stalls: Demystifying Data Generation and Verification Challenge