Learning to Learn-at-Test-Time: Language Agents with Learnable Adaptation Policies

Zhanzhi Lou, Hui Chen, Yibo Li +2

The paper introduces Meta-TTL, a bi‑level optimization framework that learns adaptation policies for test‑time learning in language agents, using evolutionary search to improve per…