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Off-policy evaluation
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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.
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A Principled Path to Fitted Distributional Evaluation
Semi-gradient DICE for Offline Constrained Reinforcement Learning
STITCH-OPE: Trajectory Stitching with Guided Diffusion for Off-Policy Evaluation
Characterization of Efficient Influence Function for Off-Policy Evaluation Under Optimal Policies
DOLCE: Decomposing Off-Policy Evaluation/Learning into Lagged and Current Effects
Stabilizing Temporal Difference Learning via Implicit Stochastic Recursion
Off-Policy Evaluation for Sequential Persuasion Process with Unobserved Confounding
Enhancing Offline Model-Based RL via Active Model Selection: A Bayesian Optimization Perspective
Off-Policy Evaluation for Recommendations with Missing-Not-At-Random Rewards
Model Selection for Off-policy Evaluation: New Algorithms and Experimental Protocol
Trajectory World Models for Heterogeneous Environments
Off-policy Evaluation for Payments at Adyen
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments
CANDOR: Counterfactual ANnotated DOubly Robust Off-Policy Evaluation
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning
Concept-driven Off Policy Evaluation
Logarithmic Neyman Regret for Adaptive Estimation of the Average Treatment Effect
Off-policy estimation with adaptively collected data: the power of online learning
Minimum Empirical Divergence for Sub-Gaussian Linear Bandits
Primal-Dual Spectral Representation for Off-policy Evaluation
Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation
Development and Validation of Heparin Dosing Policies Using an Offline Reinforcement Learning Algorithm
Designing an Interpretable Interface for Contextual Bandits
Limit Order Book Simulation and Trade Evaluation with $K$-Nearest-Neighbor Resampling
IntOPE: Off-Policy Evaluation in the Presence of Interference
Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits
Empowering Clinicians with Medical Decision Transformers: A Framework for Sepsis Treatment
Causal Deepsets for Off-policy Evaluation under Spatial or Spatio-temporal Interferences
Balancing Immediate Revenue and Future Off-Policy Evaluation in Coupon Allocation
Off-policy Evaluation with Deeply-abstracted States
Automated Off-Policy Estimator Selection via Supervised Learning
Confident Natural Policy Gradient for Local Planning in $q_π$-realizable Constrained MDPs
Off-Policy Evaluation from Logged Human Feedback
A Fast Convergence Theory for Offline Decision Making
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation
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