Research & Publications

MARL-MAPS: Dynamic Multi-Agent Reinforcement Learning for Optimized RAG

Kumar Priyam

Traditional Retrieval-Augmented Generation (RAG) pipelines suffer from a "Context Tax" — bloating LLM inputs with noisy, irrelevant documents that spike latency and increase hallucination risks. Sequential one-way pipelines prevent adaptive backtracking when early retrieval steps…