RecSys 2020

Keeping Dataset Biases out of the Simulation: A Debiased Simulator for Reinforcement Learning based Recommender Systems

Oct 09, 2020

|

42 views

ACM RecSys 2020

Reinforcement Learning

Recommender System

Details

Jin Huang;Harrie Oosterhuis;Maarten de Rijke;Herke van Hoof: Keeping Dataset Biases out of the Simulation: A Debiased Simulator for Reinforcement Learning based Recommender Systems. In RecSys 2020

Category: RecSys 2020

Comments

loading...

Reactions (0) | Note

📝 No reactions yet

Be the first one to share your thoughts!

Reactions(0)

Note

loading...

Recommended

ICAPS 2012: Session VIb on "Planning and Scheduling for Shipping and Transportation"

ICAPS | Aug 18, 2014

ICAPS 2012: Awards & Best Dissertation Presentations

ICAPS | Aug 19, 2014

ICAPS 2014: Miquel Ramírez on "Directed Fixed-Point Regression-Based Planning..."

ICAPS | Sep 22, 2014

Representation Learning: A Review and New Perspectives

AISTATS 2014 | Nov 12, 2014

Playing Atari with Deep Reinforcement Learning | Two Minute Paper

Two Minute Papers | Mar 7, 2015