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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 101–125 of 265 papers

TitleStatusHype
Large-scale Validation of Counterfactual Learning Methods: A Test-Bed—0
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces—0
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions—0
Counterfactual Learning with General Data-generating Policies—0
Inference on Time Series Nonparametric Conditional Moment Restrictions Using General Sieves—0
Hyperparameter Optimization Can Even be Harmful in Off-Policy Learning and How to Deal with It—0
Bayesian Counterfactual Mean Embeddings and Off-Policy Evaluation—0
Adaptive Trade-Offs in Off-Policy Learning—0
Hybrid Value Estimation for Off-policy Evaluation and Offline Reinforcement Learning—0
HOPE: Human-Centric Off-Policy Evaluation for E-Learning and Healthcare—0
Counterfactual Analysis in Dynamic Latent State Models—0
Balancing Immediate Revenue and Future Off-Policy Evaluation in Coupon Allocation—0
Generalizing Off-Policy Evaluation From a Causal Perspective For Sequential Decision-Making—0
Infinite-Horizon Offline Reinforcement Learning with Linear Function Approximation: Curse of Dimensionality and Algorithm—0
Generalized Emphatic Temporal Difference Learning: Bias-Variance Analysis—0
IntOPE: Off-Policy Evaluation in the Presence of Interference—0
Balanced off-policy evaluation in general action spaces—0
Consistent On-Line Off-Policy Evaluation—0
Finite Sample Analysis of Minimax Offline Reinforcement Learning: Completeness, Fast Rates and First-Order Efficiency—0
Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning—0
Expected Sarsa(λ) with Control Variate for Variance Reduction—0
Enhancing Offline Model-Based RL via Active Model Selection: A Bayesian Optimization Perspective—0
Empowering Clinicians with Medical Decision Transformers: A Framework for Sepsis Treatment—0
Conformal Off-Policy Prediction in Contextual Bandits—0
Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization—0
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