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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
7257
Venue
SIGMOD
Year
2025
Pagerank
5.4059856e-05
Overall Rank
8,591 | 41.06%
DOI
10.1145/3725257

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
43 The Case for Learned Index Structures 2018 SIGMOD 0.00046060254
86 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00035316107
156 An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server 1997 VLDB 0.00028636811
334 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.00020875082
447 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00018322593
477 The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds 2020 VLDB 0.00017851226
790 FITing-Tree: A Data-aware Index Structure 2019 SIGMOD 0.0001401445
831 Dostoevsky: Better Space-Time Trade-Offs for LSM-Tree Based Key-Value Stores via Adaptive Removal of Superfluous Merging 2018 SIGMOD 0.00013748512
1,551 Updatable Learned Index with Precise Positions 2021 VLDB 0.00010381398
2,233 FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems 2022 VLDB 8.8968964e-05
2,910 APEX: A High-Performance Learned Index on Persistent Memory 2022 VLDB 7.9700885e-05
3,152 CDFShop: Exploring and Optimizing Learned Index Structures 2020 SIGMOD 7.7003613e-05
3,729 CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm 2022 VLDB 7.1683974e-05
3,792 Learned Index: A Comprehensive Experimental Evaluation 2023 VLDB 7.1220982e-05
6,327 Breaking It Down: An In-depth Study of Index Advisors 2024 VLDB 5.9124005e-05
6,843 Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads 2023 SIGMOD 5.7573899e-05
7,368 Accelerating String-key Learned Index Structures via Memoization-based Incremental Training 2024 VLDB 5.6315363e-05
8,076 Leveraging Dynamic and Heterogeneous Workload Knowledge to Boost the Performance of Index Advisors 2024 VLDB 5.4927414e-05
8,323 SageDB: An Instance-Optimized Data Analytics System 2022 VLDB 5.4539294e-05
9,106 AirIndex: Versatile Index Tuning Through Data and Storage 2023 SIGMOD 5.3226167e-05
9,998 SWIX: A Memory-efficient Sliding Window Learned Index 2024 SIGMOD 5.1814573e-05
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