Paper#Recommender Systems, Reinforcement Learning, Resource Allocation🔬 ResearchAnalyzed: Jan 3, 2026 15:38
MaRCA: Multi-Agent RL for Recommender Systems
Published:Dec 30, 2025 16:27
•1 min read
•ArXiv
Analysis
This paper addresses a crucial problem in modern recommender systems: efficient computation allocation to maximize revenue. It proposes a novel multi-agent reinforcement learning framework, MaRCA, which considers inter-stage dependencies and uses CTDE for optimization. The deployment on a large e-commerce platform and the reported revenue uplift demonstrate the practical impact of the proposed approach.
Key Takeaways
Reference
“MaRCA delivered a 16.67% revenue uplift using existing computation resources.”