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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 26–50 of 265 papers

TitleStatusHype
Balancing Immediate Revenue and Future Off-Policy Evaluation in Coupon Allocation—0
An Instrumental Variable Approach to Confounded Off-Policy Evaluation—0
Bayesian Counterfactual Mean Embeddings and Off-Policy Evaluation—0
Data-Driven Off-Policy Estimator Selection: An Application in User Marketing on An Online Content Delivery Service—0
Accountable Off-Policy Evaluation via a Kernelized Bellman Statistics—0
Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization—0
Counterfactual Learning with General Data-generating Policies—0
Data Poisoning Attacks on Off-Policy Policy Evaluation Methods—0
Deep Jump Q-Evaluation for Offline Policy Evaluation in Continuous Action Space—0
A maximum-entropy approach to off-policy evaluation in average-reward MDPs—0
A Unified Off-Policy Evaluation Approach for General Value Function—0
Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation—0
Combining Parametric and Nonparametric Models for Off-Policy Evaluation—0
A Fast Convergence Theory for Offline Decision Making—0
CoinDICE: Off-Policy Confidence Interval Estimation—0
Characterization of Efficient Influence Function for Off-Policy Evaluation Under Optimal Policies—0
Concept-driven Off Policy Evaluation—0
Confidence Interval for Off-Policy Evaluation from Dependent Samples via Bandit Algorithm: Approach from Standardized Martingales—0
Confident Natural Policy Gradient for Local Planning in q_π-realizable Constrained MDPs—0
Automated Off-Policy Estimator Selection via Supervised Learning—0
Conformal Off-Policy Evaluation in Markov Decision Processes—0
Asymptotically Efficient Off-Policy Evaluation for Tabular Reinforcement Learning—0
Conformal Off-Policy Prediction in Contextual Bandits—0
Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning—0
Causality and Batch Reinforcement Learning: Complementary Approaches To Planning In Unknown Domains—0
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