From Understanding to Action: Feedback-Grounded Policy Discovery for Generative Recommendation
A feedback-driven agent framework is proposed that first induces task-oriented intent and then discovers recommendation policies according to their incremental utility over an intent-only baseline, enabling LLM-free online inference.