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Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring

Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring

Runzhe Wan
Yu Liu
James McQueen
Doug Hains
Rui Song
ArXiv (abs)PDFHTML

Papers citing "Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring"

2 / 2 papers shown
Title
Improved prediction of future user activity in online A/B testing
Improved prediction of future user activity in online A/B testing
L. Masoero
Mario Beraha
Thomas S. Richardson
Stefano Favaro
19
0
0
05 Feb 2024
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches
Yu Liu
Runzhe Wan
James McQueen
Doug Hains
Jinxiang Gu
Rui Song
42
1
0
20 Dec 2023

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