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A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach

Summary: LITune enables end-to-end automatic tuning of Learned Index Structures using a DRL-based pipeline for stable, efficient optimization. The O2 online updater adapts to workload shifts, delivering up to 98% runtime reduction and 17x throughput gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h154536e8e8514de9
Venue
SIGMOD
Year
2025
Pagerank
5.2647219e-05
Overall Rank
8,782 | 41.14%
DOI
10.1145/3725257
PDF
Download (CC BY 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{wang_sigmod25,
        title = {{A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach}},
        author = {Wang, Taiyi and Liang, Liang and Yang, Guang and Heinis, Thomas and Yoneki, Eiko},
        series = {{SIGMOD} '25},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3725257},
        url = {https://dl.acm.org/doi/10.1145/3725257},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 21 of 21 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
40 The Case for Learned Index Structures 2018 SIGMOD 0.00046249672
74 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00037164008
151 An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server 1997 VLDB 0.00028611216
309 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.0002143249
427 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00018429918
461 The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds 2020 VLDB 0.00017835351
761 Dostoevsky: Better Space-Time Trade-Offs for LSM-Tree Based Key-Value Stores via Adaptive Removal of Superfluous Merging 2018 SIGMOD 0.00014191047
774 FITing-Tree: A Data-aware Index Structure 2019 SIGMOD 0.00014063511
1,529 Updatable Learned Index with Precise Positions 2021 VLDB 0.00010320909
2,254 FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems 2022 VLDB 8.7429699e-05
2,870 APEX: A High-Performance Learned Index on Persistent Memory 2022 VLDB 7.9033232e-05
3,207 CDFShop: Exploring and Optimizing Learned Index Structures 2020 SIGMOD 7.5187675e-05
3,632 Learned Index: A Comprehensive Experimental Evaluation 2023 VLDB 7.1274345e-05
3,716 CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm 2022 VLDB 7.0541948e-05
6,121 Breaking It Down: An In-depth Study of Index Advisors 2024 VLDB 5.863893e-05
6,137 Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads 2023 SIGMOD 5.8576977e-05
6,889 Accelerating String-key Learned Index Structures via Memoization-based Incremental Training 2024 VLDB 5.6393954e-05
7,621 SageDB: An Instance-Optimized Data Analytics System 2022 VLDB 5.4664683e-05
7,989 Leveraging Dynamic and Heterogeneous Workload Knowledge to Boost the Performance of Index Advisors 2024 VLDB 5.3951416e-05
8,558 AirIndex: Versatile Index Tuning Through Data and Storage 2023 SIGMOD 5.3016395e-05
10,222 SWIX: A Memory-efficient Sliding Window Learned Index 2024 SIGMOD 5.0460607e-05
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