Author

Jiamu Wang

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Preprint Aug 2026

MetaRAG: Belief-Action Aligned Policy Optimization for Agentic RAG

MetaRAG is proposed, a belief-action aligned policy optimization framework for agentic RAG that consistently improves the accuracy-efficiency trade-off over strong RL-based agentic RAG baselines, with gains that transfer to deep research settings, different optimizers, and multiple model backbones.

Qiuyi Qi, Tian Liang, Jiamu Wang et al. · 0 citations