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On the Opportunities and Challenges of Offline Reinforcement Learning
  for Recommender Systems

On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems

22 August 2023
Xiaocong Chen
Siyu Wang
Julian McAuley
Dietmar Jannach
Lina Yao
    OffRL
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Papers citing "On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems"

17 / 17 papers shown
Title
Retentive Decision Transformer with Adaptive Masking for Reinforcement
  Learning based Recommendation Systems
Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation Systems
Siyu Wang
Xiaocong Chen
Lina Yao
OffRL
62
2
0
26 Mar 2024
A General Offline Reinforcement Learning Framework for Interactive
  Recommendation
A General Offline Reinforcement Learning Framework for Interactive Recommendation
Teng Xiao
Donglin Wang
OffRL
64
74
0
01 Oct 2023
CausPref: Causal Preference Learning for Out-of-Distribution
  Recommendation
CausPref: Causal Preference Learning for Out-of-Distribution Recommendation
Yue He
Zimu Wang
Peng Cui
Hao Zou
Yafeng Zhang
Qiang Cui
Yong Jiang
OOD
CML
OODD
60
54
0
08 Feb 2022
Offline Reinforcement Learning for Mobile Notifications
Offline Reinforcement Learning for Mobile Notifications
Yiping Yuan
A. Muralidharan
Preetam Nandy
Miao Cheng
Prakruthi Prabhakar
OffRL
56
9
0
04 Feb 2022
Instrumental Variable Value Iteration for Causal Offline Reinforcement
  Learning
Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning
Luofeng Liao
Zuyue Fu
Zhuoran Yang
Yixin Wang
Mladen Kolar
Zhaoran Wang
OffRL
80
36
0
19 Feb 2021
Offline Meta-level Model-based Reinforcement Learning Approach for
  Cold-Start Recommendation
Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation
Yanan Wang
Yong Ge
Li Li
Rui Chen
Tong Xu
OffRL
38
7
0
04 Dec 2020
Graph Neural Networks in Recommender Systems: A Survey
Graph Neural Networks in Recommender Systems: A Survey
Shiwen Wu
Fei Sun
Wentao Zhang
Xu Xie
Tengjiao Wang
GNN
135
1,228
0
04 Nov 2020
BLOB : A Probabilistic Model for Recommendation that Combines Organic
  and Bandit Signals
BLOB : A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals
Otmane Sakhi
Stephen Bonner
D. Rohde
Flavian Vasile
59
35
0
28 Aug 2020
Learning to Collaborate in Multi-Module Recommendation via Multi-Agent
  Reinforcement Learning without Communication
Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication
Xu He
Bo An
Yanghua Li
Haikai Chen
Rongpin Wang
Xinrun Wang
Runsheng Yu
Xin Zhe Li
Zhirong Wang
51
29
0
21 Aug 2020
Explainability in Deep Reinforcement Learning
Explainability in Deep Reinforcement Learning
Alexandre Heuillet
Fabien Couthouis
Natalia Díaz Rodríguez
XAI
160
281
0
15 Aug 2020
Adversarial Attacks and Detection on Reinforcement Learning-Based
  Interactive Recommender Systems
Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems
Yuanjiang Cao
Xiaocong Chen
Lina Yao
Xianzhi Wang
W. Zhang
AAML
36
43
0
14 Jun 2020
Knowledge-guided Deep Reinforcement Learning for Interactive
  Recommendation
Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation
Xiaocong Chen
Chaoran Huang
Lina Yao
Xianzhi Wang
Wei Liu
Wenjie Zhang
107
35
0
17 Apr 2020
BERT4Rec: Sequential Recommendation with Bidirectional Encoder
  Representations from Transformer
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
Fei Sun
Jun Liu
Jian Wu
Changhua Pei
Xiao Lin
Wenwu Ou
Peng Jiang
BDL
HAI
178
2,171
0
14 Apr 2019
Virtual-Taobao: Virtualizing Real-world Online Retail Environment for
  Reinforcement Learning
Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning
Jing-Cheng Shi
Yang Yu
Qing Da
Shi-Yong Chen
Anxiang Zeng
OffRL
66
187
0
25 May 2018
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents
Yen-Chen Lin
Zhang-Wei Hong
Yuan-Hong Liao
Meng-Li Shih
Ming-Yuan Liu
Min Sun
AAML
85
415
0
08 Mar 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
172
1,539
0
25 Jan 2017
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
677
31,512
0
16 Jan 2013
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