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12/29/2022
An Instrumental Variable Approach to Confounded Off-Policy Evaluation
Off-policy evaluation (OPE) is a method for estimating the return of a t...
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12/29/2022
Quantile Off-Policy Evaluation via Deep Conditional Generative Learning
Off-Policy evaluation (OPE) is concerned with evaluating a new target po...
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06/14/2022
Conformal Off-Policy Prediction
Off-policy evaluation is critical in a number of applications where new ...
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02/26/2022
Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons
We consider reinforcement learning (RL) methods in offline domains witho...
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02/22/2022
Policy Evaluation for Temporal and/or Spatial Dependent Experiments in Ride-sourcing Platforms
Policy evaluation based on A/B testing has attracted considerable intere...
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02/22/2022
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process
This paper is concerned with constructing a confidence interval for a ta...
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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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11/06/2021
An Online Sequential Test for Qualitative Treatment Effects
Tech companies (e.g., Google or Facebook) often use randomized online ex...
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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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02/05/2020
A Reinforcement Learning Framework for Time-Dependent Causal Effects Evaluation in A/B Testing
A/B testing, or online experiment is a standard business strategy to com...
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07/29/2014