SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 265 papers

TitleStatusHype
Control Variates for Slate Off-Policy EvaluationCode0
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous ActionsCode0
Model-Free and Model-Based Policy Evaluation when Causality is UncertainCode0
Counterfactual-Augmented Importance Sampling for Semi-Offline Policy EvaluationCode0
Harnessing Distribution Ratio Estimators for Learning Agents with Quality and DiversityCode0
Causal Deepsets for Off-policy Evaluation under Spatial or Spatio-temporal InterferencesCode0
Batch Stationary Distribution EstimationCode0
Counterfactual Learning with Multioutput Deep KernelsCode0
Hindsight-DICE: Stable Credit Assignment for Deep Reinforcement LearningCode0
Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal ModelsCode0
Future-Dependent Value-Based Off-Policy Evaluation in POMDPsCode0
Off-policy Evaluation with Deeply-abstracted StatesCode0
Hallucinated Adversarial Control for Conservative Offline Policy EvaluationCode0
Human Choice Prediction in Language-based Persuasion Games: Simulation-based Off-Policy EvaluationCode0
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
From Importance Sampling to Doubly Robust Policy GradientCode0
Distributional Off-Policy Evaluation for Slate RecommendationsCode0
RoME: A Robust Mixed-Effects Bandit Algorithm for Optimizing Mobile Health InterventionsCode0
Show:102550
← PrevPage 3 of 11Next →

No leaderboard results yet.