SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 of 265 papers

TitleStatusHype
Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling—0
Learning Action Embeddings for Off-Policy EvaluationCode0
Conformal Off-Policy Evaluation in Markov Decision Processes—0
On the Sample Complexity of Vanilla Model-Based Offline Reinforcement Learning with Dependent Samples—0
Hallucinated Adversarial Control for Conservative Offline Policy EvaluationCode0
Balanced Off-Policy Evaluation for Personalized PricingCode0
HOPE: Human-Centric Off-Policy Evaluation for E-Learning and Healthcare—0
Post Reinforcement Learning InferenceCode0
STEEL: Singularity-aware Reinforcement Learning—0
Variational Latent Branching Model for Off-Policy EvaluationCode0
Off-Policy Evaluation for Action-Dependent Non-Stationary EnvironmentsCode0
Off-Policy Evaluation with Out-of-Sample GuaranteesCode0
Inference on Time Series Nonparametric Conditional Moment Restrictions Using General Sieves—0
An Instrumental Variable Approach to Confounded Off-Policy Evaluation—0
Quantile Off-Policy Evaluation via Deep Conditional Generative Learning—0
Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information—0
Safe Evaluation For Offline Learning: Are We Ready To Deploy?—0
Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction—0
A Review of Off-Policy Evaluation in Reinforcement Learning—0
Doubly Robust Kernel Statistics for Testing Distributional Treatment EffectsCode0
Low Variance Off-policy Evaluation with State-based Importance SamplingCode0
Counterfactual Learning with General Data-generating Policies—0
Offline Policy Evaluation and Optimization under Confounding—0
Policy-Adaptive Estimator Selection for Off-Policy EvaluationCode0
Counterfactual Learning with Multioutput Deep KernelsCode0
Bayesian Counterfactual Mean Embeddings and Off-Policy Evaluation—0
Beyond the Return: Off-policy Function Estimation under User-specified Error-measuring Distributions—0
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous ActionsCode0
Off-policy evaluation for learning-to-rank via interpolating the item-position model and the position-based model—0
Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models—0
Towards Robust Off-Policy Evaluation via Human Inputs—0
Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes—0
On the Reuse Bias in Off-Policy Reinforcement LearningCode0
Statistical Estimation of Confounded Linear MDPs: An Instrumental Variable Approach—0
Future-Dependent Value-Based Off-Policy Evaluation in POMDPsCode0
Conformal Off-policy PredictionCode0
Conformal Off-Policy Prediction in Contextual Bandits—0
Sample Complexity of Nonparametric Off-Policy Evaluation on Low-Dimensional Manifolds using Deep Networks—0
Markovian Interference in Experiments—0
Hybrid Value Estimation for Off-policy Evaluation and Offline Reinforcement Learning—0
Counterfactual Analysis in Dynamic Latent State Models—0
Scalable and Robust Self-Learning for Skill Routing in Large-Scale Conversational AI Systems—0
Off-Policy Evaluation with Online Adaptation for Robot Exploration in Challenging Environments—0
Model-Free and Model-Based Policy Evaluation when Causality is UncertainCode0
Marginalized Operators for Off-policy Reinforcement Learning—0
Bellman Residual Orthogonalization for Offline Reinforcement Learning—0
Off-Policy Evaluation in Embedded Spaces—0
Off-Policy Evaluation with Policy-Dependent Optimization Response—0
A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided MarketsCode0
Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory—0
Show:102550
← PrevPage 3 of 6Next →

No leaderboard results yet.