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A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions
8 September 2021
Xiaocong Chen
L. Yao
Julian McAuley
Guanglin Zhou
Xianzhi Wang
AI4TS
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Papers citing
"A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions"
8 / 8 papers shown
Title
FedSlate:A Federated Deep Reinforcement Learning Recommender System
Yongxin Deng
Xihe Qiu
Xiaoyu Tan
Yaochu Jin
FedML
96
0
0
23 Sep 2024
Reinforcement Learning for Generative AI: A Survey
Yuanjiang Cao
Quan.Z Sheng
Julian McAuley
Lina Yao
SyDa
53
10
0
28 Aug 2023
Bi-directional personalization reinforcement learning-based architecture with active learning using a multi-model data service for the travel nursing industry
Ezana N. Beyenne
10
0
0
14 Mar 2023
Situating Recommender Systems in Practice: Towards Inductive Learning and Incremental Updates
Tobias Schnabel
Mengting Wan
Longqi Yang
HAI
27
8
0
11 Nov 2022
Fine-Grained Session Recommendations in E-commerce using Deep Reinforcement Learning
Diddigi Raghu Ram Bharadwaj
Lakshya Kumar
Saif Jawaid
Sreekanth Vempati
36
0
0
20 Oct 2022
Pessimistic Model Selection for Offline Deep Reinforcement Learning
Chao-Han Huck Yang
Zhengling Qi
Yifan Cui
Pin-Yu Chen
OffRL
39
4
0
29 Nov 2021
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference
Xiaocong Chen
Lina Yao
Xianzhi Wang
Aixin Sun
Wenjie Zhang
Quan Z. Sheng
17
8
0
03 May 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
343
1,963
0
04 May 2020
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