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Environment Reconstruction with Hidden Confounders for Reinforcement
  Learning based Recommendation

Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation

12 July 2019
Wenjie Shang
Yang Yu
Qingyang Li
Zhiwei Qin
Yiping Meng
Jieping Ye
    CML
ArXivPDFHTML

Papers citing "Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation"

10 / 10 papers shown
Title
A Unified Representation Framework for Rideshare Marketplace Equilibrium
  and Efficiency
A Unified Representation Framework for Rideshare Marketplace Equilibrium and Efficiency
Alex J. Chin
Zhiwei Qin
24
2
0
28 Feb 2023
Spatio-temporal Incentives Optimization for Ride-hailing Services with
  Offline Deep Reinforcement Learning
Spatio-temporal Incentives Optimization for Ride-hailing Services with Offline Deep Reinforcement Learning
Yanqiu Wu
Qingyang Li
Zhiwei Qin
OffRL
12
3
0
06 Nov 2022
Understanding or Manipulation: Rethinking Online Performance Gains of
  Modern Recommender Systems
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems
Zhengbang Zhu
Rongjun Qin
Junjie Huang
Xinyi Dai
Yang Yu
Yong Yu
Weinan Zhang
44
2
0
11 Oct 2022
Choosing the Best of Both Worlds: Diverse and Novel Recommendations
  through Multi-Objective Reinforcement Learning
Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning
Dusan Stamenkovic
Alexandros Karatzoglou
Ioannis Arapakis
Xin Xin
Kleomenis Katevas
20
46
0
28 Oct 2021
Deconfounded Causal Collaborative Filtering
Deconfounded Causal Collaborative Filtering
Shuyuan Xu
Juntao Tan
Shelby Heinecke
Jia Li
Yongfeng Zhang
CML
35
40
0
14 Oct 2021
A Survey on Deep Reinforcement Learning for Data Processing and
  Analytics
A Survey on Deep Reinforcement Learning for Data Processing and Analytics
Qingpeng Cai
Can Cui
Yiyuan Xiong
Wei Wang
Zhongle Xie
Meihui Zhang
OffRL
21
29
0
10 Aug 2021
Reinforcement Learning for Ridesharing: An Extended Survey
Reinforcement Learning for Ridesharing: An Extended Survey
Zhiwei Qin
Hongtu Zhu
Jieping Ye
39
84
0
03 May 2021
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning
Rongjun Qin
Songyi Gao
Xingyuan Zhang
Zhen Xu
Shengkai Huang
Zewen Li
Weinan Zhang
Yang Yu
OffRL
140
6
0
01 Feb 2021
Self-Supervised Reinforcement Learning for Recommender Systems
Self-Supervised Reinforcement Learning for Recommender Systems
Xin Xin
Alexandros Karatzoglou
Ioannis Arapakis
J. Jose
SSL
OffRL
29
198
0
10 Jun 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and
  Applications
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
26
818
0
20 Jan 2020
1