Author

Rundong Huang

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Preprint Jul 2026

Personalizing Large Language Model Agents with Small Policy Models

This work forms personalization of a frozen agent as online learning of a per-user execution policy from scalar feedback observed only for the executed action, and proposes FABLE (Factorized Adaptive Bandit Layer for Execution), a lightweight policy layer outside a potentially black-box host agent.

Dian Jin, Zhi Zhang, Huichao Li et al. · 0 citations