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Recommendation System-based Upper Confidence Bound for Online
  Advertising

Recommendation System-based Upper Confidence Bound for Online Advertising

9 September 2019
Nhan Nguyen-Thanh
D. Marinca
K. Khawam
D. Rohde
Flavian Vasile
E. Lohan
Steven Martin
Dominique Quadri
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Recommendation System-based Upper Confidence Bound for Online Advertising"

4 / 4 papers shown
Title
RecoGym: A Reinforcement Learning Environment for the problem of Product
  Recommendation in Online Advertising
RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
D. Rohde
Stephen Bonner
Travis Dunlop
Flavian Vasile
Alexandros Karatzoglou
OffRL
57
150
0
02 Aug 2018
Regret Bounds and Regimes of Optimality for User-User and Item-Item
  Collaborative Filtering
Regret Bounds and Regimes of Optimality for User-User and Item-Item Collaborative Filtering
Guy Bresler
Mina Karzand
148
14
0
06 Nov 2017
OpenAI Gym
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRLODL
223
5,077
0
05 Jun 2016
On Upper-Confidence Bound Policies for Non-Stationary Bandit Problems
On Upper-Confidence Bound Policies for Non-Stationary Bandit Problems
Aurélien Garivier
Eric Moulines
91
295
0
22 May 2008
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