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04/02/2023
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring
With the growing needs of online A/B testing to support the innovation i...
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02/03/2023
Multiplier Bootstrap-based Exploration
Despite the great interest in the bandit problem, designing efficient al...
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01/30/2023
STEEL: Singularity-aware Reinforcement Learning
Batch reinforcement learning (RL) aims at finding an optimal policy in a...
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12/30/2022
Heterogeneous Synthetic Learner for Panel Data
In the new era of personalization, learning the heterogeneous treatment ...
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12/25/2022
Mining the Factor Zoo: Estimation of Latent Factor Models with Sufficient Proxies
Latent factor model estimation typically relies on either using domain k...
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02/26/2022
Safe Exploration for Efficient Policy Evaluation and Comparison
High-quality data plays a central role in ensuring the accuracy of polic...
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02/26/2022
Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework
Online learning in large-scale structured bandits is known to be challen...
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02/21/2022
A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets
The two-sided markets such as ride-sharing companies often involve a gro...
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08/13/2021
Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models
How to explore efficiently is a central problem in multi-armed bandits. ...
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05/27/2021
Pattern Transfer Learning for Reinforcement Learning in Order Dispatching
Order dispatch is one of the central problems to ride-sharing platforms....
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05/10/2021
Deeply-Debiased Off-Policy Interval Estimation
Off-policy evaluation learns a target policy's value with a historical d...
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09/09/2020
Multi-Objective Reinforcement Learning for Infectious Disease Control with Application to COVID-19 Spread
Severe infectious diseases such as the novel coronavirus (COVID-19) pose...
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02/05/2020
