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News/Environment Evolution for Terminal Agents
arxiv
PublishedSeptember 4, 2026 at 4:00 AM

Environment Evolution for Terminal Agents

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arXiv:2609.04128v1 Announce Type: new Abstract: Scaling interactive and verifiable environments is critical for training terminal agents. As frontier models become more capable, environments synthesized from scratch become less challenging and thus provide limited learning signals. Recent co-evoluti

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