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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

29 May 2019
Eugene Ie
Vihan Jain
Jing Wang
Sanmit Narvekar
Ritesh Agarwal
Rui Wu
Heng-Tze Cheng
Morgane Lustman
Vince Gatto
Paul Covington
Jim McFadden
Tushar Chandra
Craig Boutilier
    OffRL
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Papers citing "Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology"

9 / 9 papers shown
Title
Automatic Music Playlist Generation via Simulation-based Reinforcement
  Learning
Automatic Music Playlist Generation via Simulation-based Reinforcement Learning
Federico Tomasi
Joseph Cauteruccio
Surya Kanoria
K. Ciosek
Matteo Rinaldi
Zhenwen Dai
OffRL
14
5
0
13 Oct 2023
Adaptive Interventions for Global Health: A Case Study of Malaria
Adaptive Interventions for Global Health: A Case Study of Malaria
África Periánez
A. Trister
Madhav Nekkar
Ana Fernández del Río
P. Alonso
22
1
0
03 Mar 2023
Multi-objective Optimization of Notifications Using Offline
  Reinforcement Learning
Multi-objective Optimization of Notifications Using Offline Reinforcement Learning
Prakruthi Prabhakar
Yiping Yuan
Guangyu Yang
Wensheng Sun
A. Muralidharan
OffRL
28
6
0
07 Jul 2022
Preference Dynamics Under Personalized Recommendations
Preference Dynamics Under Personalized Recommendations
Sarah Dean
Jamie Morgenstern
72
34
0
25 May 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
14
41
0
25 Apr 2022
Offline Reinforcement Learning for Mobile Notifications
Offline Reinforcement Learning for Mobile Notifications
Yiping Yuan
A. Muralidharan
Preetam Nandy
Miao Cheng
Prakruthi Prabhakar
OffRL
20
9
0
04 Feb 2022
RecSim NG: Toward Principled Uncertainty Modeling for Recommender
  Ecosystems
RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems
Martin Mladenov
Chih-Wei Hsu
Vihan Jain
Eugene Ie
Christopher Colby
Nicolas Mayoraz
H. Pham
Dustin Tran
Ivan Vendrov
Craig Boutilier
BDL
15
31
0
14 Mar 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
136
273
0
23 Jan 2021
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential
  Advertising
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising
Xiaotian Hao
Zhaoqing Peng
Yi Ma
Guanlong Wang
Junqi Jin
...
Zhenzhe Zheng
Chuan Yu
Han Li
Jian Xu
Kun Gai
13
26
0
29 Jun 2020
1