MetaRAG: Belief-Action Aligned Policy Optimization for Agentic RAG

@article{qiuyi2026,
  title = {MetaRAG: Belief-Action Aligned Policy Optimization for Agentic RAG},
  author = {Qi, Qiuyi and Liang, Tian and Wang, Jiamu and Zhang, Jinjian and Zhou, Wei and Zhu, Pengcheng and Mo, Linjian and Kong, Ming and Liu, Jie and Zhu, Qiang},
  journal = {Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing},
  year = {2026},
  month = {Jan},
}

Qi, Qiuyi et al. (2026). MetaRAG: Belief-Action Aligned Policy Optimization for Agentic RAG. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing.

Qi, Qiuyi, et al.. "MetaRAG: Belief-Action Aligned Policy Optimization for Agentic RAG." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing, 2026.

Qi, Qiuyi, et al.. "MetaRAG: Belief-Action Aligned Policy Optimization for Agentic RAG." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (2026).

Qi, Qiuyi et al., 2026. MetaRAG: Belief-Action Aligned Policy Optimization for Agentic RAG. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing.

TY  - JOUR
TI  - MetaRAG: Belief-Action Aligned Policy Optimization for Agentic RAG
AU  - Qi, Qiuyi
AU  - Liang, Tian
AU  - Wang, Jiamu
AU  - Zhang, Jinjian
AU  - Zhou, Wei
AU  - Zhu, Pengcheng
AU  - Mo, Linjian
AU  - Kong, Ming
AU  - Liu, Jie
AU  - Zhu, Qiang
PY  - 2026
JO  - Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing
ER  -