Learning-Aided Heuristics Design for Storage System
Summary: Learning-aided heuristic design for storage systems using DRL to synthesize white-box, interpretable strategies. Outperforms default and handcrafted policies in production resource allocation; DRL insights rendered as human-readable rules. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yingtian Tang
- 2. Han Lu
- 3. Xijun Li
- 4. Lei Chen
- 5. Mingxuan Yuan
- 6. Jia Zeng
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| 102 | The Case for Learned Index Structures | 2018 | SIGMOD | 0.00049545203 |
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