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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
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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