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Partially Observable Markov Decision Process for Recommender Systems

Partially Observable Markov Decision Process for Recommender Systems

28 August 2016
Zhongqi Lu
Qiang Yang
ArXivPDFHTML

Papers citing "Partially Observable Markov Decision Process for Recommender Systems"

3 / 3 papers shown
Title
Collaborative Policy Learning for Dynamic Scheduling Tasks in
  Cloud-Edge-Terminal IoT Networks Using Federated Reinforcement Learning
Collaborative Policy Learning for Dynamic Scheduling Tasks in Cloud-Edge-Terminal IoT Networks Using Federated Reinforcement Learning
Do-Yup Kim
Dami Lee
Ji-Wan Kim
Hyun-Suk Lee
31
4
0
02 Jul 2023
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
30
41
0
25 Apr 2022
Modeling Attrition in Recommender Systems with Departing Bandits
Modeling Attrition in Recommender Systems with Departing Bandits
Omer Ben-Porat
Lee Cohen
Liu Leqi
Zachary Chase Lipton
Yishay Mansour
13
11
0
25 Mar 2022
1