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Generative Adversarial User Model for Reinforcement Learning Based
  Recommendation System

Generative Adversarial User Model for Reinforcement Learning Based Recommendation System

27 December 2018
Xinshi Chen
Shuang Li
Hui Li
Shaohua Jiang
Yuan Qi
Le Song
ArXivPDFHTML

Papers citing "Generative Adversarial User Model for Reinforcement Learning Based Recommendation System"

19 / 19 papers shown
Title
RS-Agent: Automating Remote Sensing Tasks through Intelligent Agent
RS-Agent: Automating Remote Sensing Tasks through Intelligent Agent
Wenjia Xu
Zijian Yu
Yixu Wang
Jiuniu Wang
Yuanben Zhang
Guangzuo Li
Mugen Peng
LLMAG
48
0
0
11 Jun 2024
SwiftRL: Towards Efficient Reinforcement Learning on Real
  Processing-In-Memory Systems
SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems
Kailash Gogineni
Sai Santosh Dayapule
Juan Gómez Luna
Karthikeya Gogineni
Peng Wei
Tian-Shing Lan
Mohammad Sadrosadati
Onur Mutlu
Guru Venkataramani
50
10
0
07 May 2024
On Generative Agents in Recommendation
On Generative Agents in Recommendation
An Zhang
Yuxin Chen
Leheng Sheng
Xiang Wang
Tat-Seng Chua
38
43
0
16 Oct 2023
A General Offline Reinforcement Learning Framework for Interactive
  Recommendation
A General Offline Reinforcement Learning Framework for Interactive Recommendation
Teng Xiao
Donglin Wang
OffRL
34
73
0
01 Oct 2023
Robust Reinforcement Learning Objectives for Sequential Recommender
  Systems
Robust Reinforcement Learning Objectives for Sequential Recommender Systems
Melissa Mozifian
Tristan Sylvain
David E. Evans
Li Meng
OffRL
26
0
0
30 May 2023
Simulating News Recommendation Ecosystem for Fun and Profit
Simulating News Recommendation Ecosystem for Fun and Profit
Guangping Zhang
Dongsheng Li
Hansu Gu
T. Lu
Li Shang
Ning Gu
16
0
0
23 May 2023
Backstepping Temporal Difference Learning
Backstepping Temporal Difference Learning
Han-Dong Lim
Dong-hwan Lee
OffRL
23
2
0
20 Feb 2023
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning
  with Demonstrations
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations
Kai Yan
A. Schwing
Yu-xiong Wang
OffRL
30
2
0
18 Oct 2022
A Scalable Recommendation Engine for New Users and Items
A Scalable Recommendation Engine for New Users and Items
Boya Xu
Yiting Deng
C. Mela
30
2
0
06 Sep 2022
Estimating and Penalizing Induced Preference Shifts in Recommender
  Systems
Estimating and Penalizing Induced Preference Shifts in Recommender Systems
Micah Carroll
Anca Dragan
Stuart J. Russell
Dylan Hadfield-Menell
OffRL
22
41
0
25 Apr 2022
Reinforcement Learning in Practice: Opportunities and Challenges
Reinforcement Learning in Practice: Opportunities and Challenges
Yuxi Li
OffRL
36
9
0
23 Feb 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
13
46
0
28 Oct 2021
Inferring Substitutable and Complementary Products with Knowledge-Aware
  Path Reasoning based on Dynamic Policy Network
Inferring Substitutable and Complementary Products with Knowledge-Aware Path Reasoning based on Dynamic Policy Network
Zijing Yang
Jiabo Ye
Linlin Wang
Xin Lin
Liang He
26
16
0
07 Oct 2021
Uncertainty-Based Offline Reinforcement Learning with Diversified
  Q-Ensemble
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
Gaon An
Seungyong Moon
Jang-Hyun Kim
Hyun Oh Song
OffRL
105
262
0
04 Oct 2021
Advances and Challenges in Conversational Recommender Systems: A Survey
Advances and Challenges in Conversational Recommender Systems: A Survey
Chongming Gao
Wenqiang Lei
Xiangnan He
Maarten de Rijke
Tat-Seng Chua
138
273
0
23 Jan 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
26
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
Solving Continual Combinatorial Selection via Deep Reinforcement
  Learning
Solving Continual Combinatorial Selection via Deep Reinforcement Learning
Hyungseok Song
Hyeryung Jang
H. Tran
Se-eun Yoon
Kyunghwan Son
Donggyu Yun
Hyoju Chung
Yung Yi
15
10
0
09 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
362
11,700
0
09 Mar 2017
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