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News/Learning to Learn-at-Test-Time: Language Agents with Learnable Adaptation Policies
arxiv
PublishedJuly 16, 2026 at 4:00 AM
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Learning to Learn-at-Test-Time: Language Agents with Learnable Adaptation Policies

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arXiv:2604.00830v3 Announce Type: replace-cross Abstract: Test-Time Learning (TTL) enables language agents to iteratively refine their performance through repeated interactions with the environment at inference time. At the core of TTL is an adaptation policy that updates the actor policy based on e

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