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AgenticRec
Agentic framework for optimizing recommendation system rankings through end-to-end policy learning
Open SourceFree
About
AgenticRec is a research framework that applies agentic AI principles to recommender systems, optimizing the entire decision-making pipeline from reasoning to tool usage to final item ranking. Uses end-to-end policy optimization to improve recommendation quality by treating the recommendation process as a sequential decision task. Designed for researchers exploring the intersection of reinforcement learning, LLM agents, and recommendation systems.
Details
| Language | |
| Patterns |
Tags
frameworkautonomousopen-sourcepythontool-useorchestration
Quick Info
- Organization
- Tianyi Li
- Pricing
- open-source
- Free Tier
- Yes
- Updated
- Mar 24, 2026
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