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Optimizing Audio Recommendations for the Long-Term: A Reinforcement
  Learning Perspective

Optimizing Audio Recommendations for the Long-Term: A Reinforcement Learning Perspective

7 February 2023
Lucas Maystre
Daniel Russo
Yu Zhao
    OffRL
ArXivPDFHTML

Papers citing "Optimizing Audio Recommendations for the Long-Term: A Reinforcement Learning Perspective"

5 / 5 papers shown
Title
Reinforcement Learning, Bit by Bit
Reinforcement Learning, Bit by Bit
Xiuyuan Lu
Benjamin Van Roy
Vikranth Dwaracherla
M. Ibrahimi
Ian Osband
Zheng Wen
40
70
0
06 Mar 2021
Targeting for long-term outcomes
Targeting for long-term outcomes
Jeremy Yang
Dean Eckles
Paramveer S. Dhillon
Sinan Aral
OffRL
27
52
0
29 Oct 2020
Fatigue-aware Bandits for Dependent Click Models
Fatigue-aware Bandits for Dependent Click Models
Junyu Cao
Wei-Ju Sun
Zuo-Jun
Z. Shen
M. Ettl
38
13
0
22 Aug 2020
RecSim: A Configurable Simulation Platform for Recommender Systems
RecSim: A Configurable Simulation Platform for Recommender Systems
Eugene Ie
Chih-Wei Hsu
Martin Mladenov
Vihan Jain
Sanmit Narvekar
Jing Wang
Rui Wu
Craig Boutilier
93
181
0
11 Sep 2019
Reinforcement Learning for Slate-based Recommender Systems: A Tractable
  Decomposition and Practical Methodology
Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology
Eugene Ie
Vihan Jain
Jing Wang
Sanmit Narvekar
Ritesh Agarwal
...
Vince Gatto
Paul Covington
Jim McFadden
Tushar Chandra
Craig Boutilier
OffRL
98
70
0
29 May 2019
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