works on
adaptation policies 1evolutionary search 1language agents 1meta-learning 1test-time learning 1transfer learning 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

cs.LG2026

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…