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A Survey on Deep Reinforcement Learning for Data Processing and
  Analytics

A Survey on Deep Reinforcement Learning for Data Processing and Analytics

10 August 2021
Qingpeng Cai
Can Cui
Yiyuan Xiong
Wei Wang
Zhongle Xie
Meihui Zhang
    OffRL
ArXivPDFHTML

Papers citing "A Survey on Deep Reinforcement Learning for Data Processing and Analytics"

17 / 17 papers shown
Title
MLCask: Efficient Management of Component Evolution in Collaborative
  Data Analytics Pipelines
MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines
Zhaojing Luo
Sai-Ho Yeung
Meihui Zhang
Kaiping Zheng
Lei Zhu
Gang Chen
Feiyi Fan
Qian Lin
K. Ngiam
Beng Chin Ooi
61
29
0
17 Oct 2020
Toward Deep Supervised Anomaly Detection: Reinforcement Learning from
  Partially Labeled Anomaly Data
Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data
Guansong Pang
Anton Van Den Hengel
Chunhua Shen
LongBing Cao
OffRL
48
86
0
15 Sep 2020
Dota 2 with Large Scale Deep Reinforcement Learning
Dota 2 with Large Scale Deep Reinforcement Learning
OpenAI OpenAI
:
Christopher Berner
Greg Brockman
Brooke Chan
...
Szymon Sidor
Ilya Sutskever
Jie Tang
Filip Wolski
Susan Zhang
GNN
VLM
CLL
AI4CE
LRM
70
1,805
0
13 Dec 2019
DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement
  Learning and Hierarchical Actions Filtering
DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering
Yuval Heffetz
Roman Vainshtein
Gilad Katz
Lior Rokach
32
39
0
31 Oct 2019
Reinforcement Learning in Healthcare: A Survey
Reinforcement Learning in Healthcare: A Survey
Chao Yu
Jiming Liu
S. Nemati
LM&MA
OffRL
96
557
0
22 Aug 2019
Database Meets Deep Learning: Challenges and Opportunities
Database Meets Deep Learning: Challenges and Opportunities
Wei Wang
Meihui Zhang
Gang Chen
H. V. Jagadish
Beng Chin Ooi
K. Tan
31
148
0
21 Jun 2019
Applications of Deep Reinforcement Learning in Communications and
  Networking: A Survey
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
Nguyen Cong Luong
D. Hoang
Shimin Gong
Dusit Niyato
Ping Wang
Ying-Chang Liang
Dong In Kim
OffRL
71
1,428
0
18 Oct 2018
Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent
  Reinforcement Learning
Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning
Jun Feng
Heng Li
Minlie Huang
Shichen Liu
Wenwu Ou
Zhirong Wang
Xiaoyan Zhu
32
70
0
17 Sep 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph
  Generation
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
247
895
0
07 Jun 2018
Deep Reinforcement Learning for Sponsored Search Real-time Bidding
Deep Reinforcement Learning for Sponsored Search Real-time Bidding
Jun Zhao
Guang Qiu
Ziyu Guan
Wei Zhao
Xiaofei He
32
82
0
01 Mar 2018
The Case for Automatic Database Administration using Deep Reinforcement
  Learning
The Case for Automatic Database Administration using Deep Reinforcement Learning
A. Sharma
F. Schuhknecht
J. Dittrich
15
62
0
17 Jan 2018
The Case for Learned Index Structures
The Case for Learned Index Structures
Tim Kraska
Alex Beutel
Ed H. Chi
J. Dean
N. Polyzotis
56
1,030
0
04 Dec 2017
Deep Reinforcement Learning that Matters
Deep Reinforcement Learning that Matters
Peter Henderson
Riashat Islam
Philip Bachman
Joelle Pineau
Doina Precup
David Meger
OffRL
90
1,940
0
19 Sep 2017
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
152
8,805
0
04 Feb 2016
Prioritized Experience Replay
Prioritized Experience Replay
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
183
3,777
0
18 Nov 2015
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
100
7,590
0
22 Sep 2015
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
148
13,174
0
09 Sep 2015
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