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KnobTree: Intelligent Database Parameter Configuration via Explainable Reinforcement Learning
21 June 2024
Jiahan Chen
Shuhan Qi
Yifan Li
Zeyu Dong
Mingfeng Ding
Yulin Wu
Xuan Wang
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Papers citing
"KnobTree: Intelligent Database Parameter Configuration via Explainable Reinforcement Learning"
7 / 7 papers shown
Title
Powershap: A Power-full Shapley Feature Selection Method
Jarne Verhaeghe
Jeroen Van Der Donckt
F. Ongenae
Sofie Van Hoecke
23
20
0
16 Jun 2022
Distilling a Neural Network Into a Soft Decision Tree
Nicholas Frosst
Geoffrey E. Hinton
411
638
0
27 Nov 2017
BestConfig: Tapping the Performance Potential of Systems via Automatic Configuration Tuning
Yuqing Zhu
Jianxun Liu
Mengying Guo
Yungang Bao
Wenlong Ma
Zhuoyue Liu
Kunpeng Song
Yifan Yang
31
211
0
10 Oct 2017
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.1K
21,939
0
22 May 2017
Categorical Reparameterization with Gumbel-Softmax
Eric Jang
S. Gu
Ben Poole
BDL
342
5,372
0
03 Nov 2016
DiNoDB: an Interactive-speed Query Engine for Ad-hoc Queries on Temporary Data
Yongchao Tian
Ioannis Alagiannis
Erietta Liarou
Anastasia Ailamaki
Pietro Michiardi
Marko Vukolić
33
12
0
16 Sep 2016
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
320
13,272
0
09 Sep 2015
1