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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 126–150 of 265 papers

TitleStatusHype
Optimal discharge of patients from intensive care via a data-driven policy learning framework—0
Optimal Mixture Weights for Off-Policy Evaluation with Multiple Behavior Policies—0
Towards Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling—0
Practical Marginalized Importance Sampling with the Successor Representation—0
Primal-Dual Spectral Representation for Off-policy Evaluation—0
Privacy Preserving Off-Policy Evaluation—0
Probabilistic Offline Policy Ranking with Approximate Bayesian Computation—0
Quantile Off-Policy Evaluation via Deep Conditional Generative Learning—0
Reliable Off-policy Evaluation for Reinforcement Learning—0
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation—0
Debiased Off-Policy Evaluation for Recommendation Systems—0
Safe Evaluation For Offline Learning: Are We Ready To Deploy?—0
Sample Complexity of Nonparametric Off-Policy Evaluation on Low-Dimensional Manifolds using Deep Networks—0
Sample Complexity of Preference-Based Nonparametric Off-Policy Evaluation with Deep Networks—0
Scalable and Robust Self-Learning for Skill Routing in Large-Scale Conversational AI Systems—0
Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems—0
Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction—0
Semi-gradient DICE for Offline Constrained Reinforcement Learning—0
STEEL: Singularity-aware Reinforcement Learning—0
Smoothed functional-based gradient algorithms for off-policy reinforcement learning: A non-asymptotic viewpoint—0
Stabilizing Temporal Difference Learning via Implicit Stochastic Recursion—0
Stateful Offline Contextual Policy Evaluation and Learning—0
Statistical Bootstrapping for Uncertainty Estimation in Off-Policy Evaluation—0
Statistical Estimation of Confounded Linear MDPs: An Instrumental Variable Approach—0
Statistically Efficient Variance Reduction with Double Policy Estimation for Off-Policy Evaluation in Sequence-Modeled Reinforcement Learning—0
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