DBAgent: An RL-Based Agent for Autonomous Database Operations and Maintenance
Summary: DBAgent is an RL-trained autonomous O&M agent for Huawei DWS, integrating dynamic tool use, multimodal database telemetry, and Think–Act–Observe planning with Autopilot alerts. It learns intervention dynamics and handles drift, improving success 23% over the strongest baseline with ~5% hallucination. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Xu Chen (University of Electronic Science and Technology of China)
- 2. Junming Chen (University of Electronic Science and Technology of China)
- 3. Shuncheng Liu (Huawei)
- 4. Yuyang Xia (University of Electronic Science and Technology of China)
- 5. Zibo Liang (University of Electronic Science and Technology of China)
- 6. Xiaoming Qin (Huawei)
- 7. Kai Zeng (Huawei)
- 8. Han Su (University of Electronic Science and Technology of China)
- 9. Kai Zheng (University of Electronic Science and Technology of China)
BibTeX Citation
@article{chen_vldb26,
title = {{DBAgent: An RL-Based Agent for Autonomous Database Operations and Maintenance}},
author = {Chen, Xu and Chen, Junming and Liu, Shuncheng and Xia, Yuyang and Liang, Zibo and Qin, Xiaoming and Zeng, Kai and Su, Han and Zheng, Kai},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {3928--3940},
doi = {10.14778/3827998.3828006},
url = {https://doi.org/10.14778/3827998.3828006},
year = {2026}
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