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Author

Haobo Zhang

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Preprint Aug 2026

Learning from Online User Feedback for Shopping Agents

LOFA combines reinforcement learning over verifiable purchase outcomes with feedback-aware on-policy distillation, which identifies users' in-dialogue directives and converts them into dense token-level supervision, which captures both collaborative behavioral patterns and user-specific preferences.

Haobo Zhang, Kelong Mao, Sulong Xu et al. · 0 citations

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