Partially Observable Markov Decision Process for Recommender Systems

28 August 2016

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

4 / 4 papers shown

Title
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 37 6 0 02 Jul 2023
Estimating and Penalizing Induced Preference Shifts in Recommender Systems Micah Carroll Anca Dragan Stuart J. Russell Dylan Hadfield-Menell OffRL 38 41 0 25 Apr 2022
Modeling Attrition in Recommender Systems with Departing Bandits Omer Ben-Porat Lee Cohen Liu Leqi Zachary Chase Lipton Yishay Mansour 15 11 0 25 Mar 2022
System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy Hyunsung Lee 19 1 0 18 Jan 2022