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Off-policy evaluation

Off-policy Evaluation (OPE), or offline evaluation in general, evaluates the performance of hypothetical policies leveraging only offline log data. It is particularly useful in applications where the online interaction involves high stakes and expensive setting such as precision medicine and recommender systems.

Papers

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Showing 51–75 of 265 papers

TitleStatusHype
Control Variates for Slate Off-Policy EvaluationCode0
Minimum Empirical Divergence for Sub-Gaussian Linear BanditsCode0
Adaptive Estimator Selection for Off-Policy EvaluationCode0
Counterfactual-Augmented Importance Sampling for Semi-Offline Policy EvaluationCode0
Hallucinated Adversarial Control for Conservative Offline Policy EvaluationCode0
Causal Deepsets for Off-policy Evaluation under Spatial or Spatio-temporal InterferencesCode0
Batch Stationary Distribution EstimationCode0
Counterfactual Learning with Multioutput Deep KernelsCode0
Harnessing Distribution Ratio Estimators for Learning Agents with Quality and DiversityCode0
Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal ModelsCode0
From Importance Sampling to Doubly Robust Policy GradientCode0
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision ProcessesCode0
Future-Dependent Value-Based Off-Policy Evaluation in POMDPsCode0
Hindsight-DICE: Stable Credit Assignment for Deep Reinforcement LearningCode0
Deep Proxy Causal Learning and its Application to Confounded Bandit Policy EvaluationCode0
Doubly Robust Kernel Statistics for Testing Distributional Treatment EffectsCode0
Deeply-Debiased Off-Policy Interval EstimationCode0
Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment SettingsCode0
Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy EvaluationCode0
Doubly Robust Estimator for Off-Policy Evaluation with Large Action SpacesCode0
DOLCE: Decomposing Off-Policy Evaluation/Learning into Lagged and Current EffectsCode0
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision ProcessesCode0
Off-policy Evaluation with Deeply-abstracted StatesCode0
Distributional Off-Policy Evaluation for Slate RecommendationsCode0
RoME: A Robust Mixed-Effects Bandit Algorithm for Optimizing Mobile Health InterventionsCode0
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