ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2406.15073
  4. Cited By
KnobTree: Intelligent Database Parameter Configuration via Explainable
  Reinforcement Learning

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
ArXiv (abs)PDFHTML

Papers citing "KnobTree: Intelligent Database Parameter Configuration via Explainable Reinforcement Learning"

7 / 7 papers shown
Title
Powershap: A Power-full Shapley Feature Selection Method
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
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
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
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
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
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
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