Deep Exploration for Recommendation Systems

26 September 2021

Papers citing "Deep Exploration for Recommendation Systems"

10 / 10 papers shown

Title
Improved Regret of Linear Ensemble Sampling Harin Lee Min-hwan Oh 32 0 0 06 Nov 2024
UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems Changshuo Zhang Sirui Chen Xiao Zhang Sunhao Dai Weijie Yu Jun Xu OffRL 33 1 0 17 Jan 2024
Ensemble sampling for linear bandits: small ensembles suffice David Janz A. Litvak Csaba Szepesvári 30 2 0 14 Nov 2023
Non-Stationary Contextual Bandit Learning via Neural Predictive Ensemble Sampling Zheqing Zhu Yueyang Liu Xu Kuang Benjamin Van Roy AI4TS 27 0 0 11 Oct 2023
Scalable Neural Contextual Bandit for Recommender Systems Zheqing Zhu Benjamin Van Roy OffRL 24 9 0 26 Jun 2023
TorchRL: A data-driven decision-making library for PyTorch Albert Bou Matteo Bettini Sebastian Dittert Vikash Kumar Shagun Sodhani Xiaomeng Yang Gianni de Fabritiis Vincent Moens OffRL AI4CE 19 37 0 01 Jun 2023
Optimizing Long-term Value for Auction-Based Recommender Systems via On-Policy Reinforcement Learning Ruiyang Xu Jalaj Bhandari D. Korenkevych F. Liu Yuchen He Alex Nikulkov Zheqing Zhu OffRL 28 6 0 23 May 2023
Evaluating Online Bandit Exploration In Large-Scale Recommender System Hongbo Guo Ruben Naeff Alex Nikulkov Zheqing Zhu OffRL 19 6 0 05 Apr 2023
An Analysis of Ensemble Sampling Chao Qin Zheng Wen Xiuyuan Lu Benjamin Van Roy 24 21 0 02 Mar 2022
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 254 488 0 31 Dec 2020