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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 1–50 of 265 papers

TitleStatusHype
Off-Policy Evaluation for Large Action Spaces via EmbeddingsCode2
Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior ModelCode2
Trajectory World Models for Heterogeneous EnvironmentsCode1
SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy EvaluationCode1
Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy EvaluationCode1
Off-Policy Evaluation of Ranking Policies under Diverse User BehaviorCode1
Anytime-valid off-policy inference for contextual banditsCode1
A Policy-Guided Imitation Approach for Offline Reinforcement LearningCode1
COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction EstimationCode1
Doubly Robust Distributionally Robust Off-Policy Evaluation and LearningCode1
BCORLE(): An Offline Reinforcement Learning and Evaluation Framework for Coupons Allocation in E-commerce MarketCode1
Evaluating the Robustness of Off-Policy EvaluationCode1
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare SettingsCode1
Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy EvaluationCode1
Active Offline Policy SelectionCode1
Offline RL Without Off-Policy EvaluationCode1
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor RepresentationCode1
Off-Policy Evaluation via Adaptive Weighting with Data from Contextual BanditsCode1
Benchmarks for Deep Off-Policy EvaluationCode1
Optimal Off-Policy Evaluation from Multiple Logging PoliciesCode1
Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy EvaluationCode1
Counterfactual Evaluation of Slate Recommendations with Sequential Reward InteractionsCode1
Off-Policy Evaluation and Learning for the Future under Non-Stationarity—0
A Principled Path to Fitted Distributional Evaluation—0
Semi-gradient DICE for Offline Constrained Reinforcement Learning—0
STITCH-OPE: Trajectory Stitching with Guided Diffusion for Off-Policy Evaluation—0
Characterization of Efficient Influence Function for Off-Policy Evaluation Under Optimal Policies—0
Stabilizing Temporal Difference Learning via Implicit Stochastic Recursion—0
DOLCE: Decomposing Off-Policy Evaluation/Learning into Lagged and Current EffectsCode0
Off-Policy Evaluation for Sequential Persuasion Process with Unobserved Confounding—0
Enhancing Offline Model-Based RL via Active Model Selection: A Bayesian Optimization Perspective—0
Off-Policy Evaluation for Recommendations with Missing-Not-At-Random Rewards—0
Model Selection for Off-policy Evaluation: New Algorithms and Experimental Protocol—0
Off-policy Evaluation for Payments at Adyen—0
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments—0
CANDOR: Counterfactual ANnotated DOubly Robust Off-Policy Evaluation—0
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement LearningCode0
Concept-driven Off Policy Evaluation—0
Logarithmic Neyman Regret for Adaptive Estimation of the Average Treatment Effect—0
Off-policy estimation with adaptively collected data: the power of online learning—0
Minimum Empirical Divergence for Sub-Gaussian Linear BanditsCode0
Primal-Dual Spectral Representation for Off-policy Evaluation—0
Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy EvaluationCode0
Development and Validation of Heparin Dosing Policies Using an Offline Reinforcement Learning Algorithm—0
Designing an Interpretable Interface for Contextual Bandits—0
Limit Order Book Simulation and Trade Evaluation with K-Nearest-Neighbor Resampling—0
IntOPE: Off-Policy Evaluation in the Presence of Interference—0
Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits—0
Empowering Clinicians with Medical Decision Transformers: A Framework for Sepsis Treatment—0
Causal Deepsets for Off-policy Evaluation under Spatial or Spatio-temporal InterferencesCode0
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