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News/State Representation Shapes Long-Horizon Agent Learning and Transfer: An Empirical Study
arxiv
PublishedOctober 15, 2026 at 4:00 AM

State Representation Shapes Long-Horizon Agent Learning and Transfer: An Empirical Study

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arXiv:2610.15407v1 Announce Type: new Abstract: An end-to-end success rate alone cannot distinguish failure to learn an action from failure to apply it as task state changes. We study this distinction in deterministic tool workflows that provide the current artifact state and candidate action recipe

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