methodology-14
Off-policy evaluation
3260 papers • 126 benchmarks • 313 datasets
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.
(Image credit: Papersgraph)
Benchmarks
These leaderboards are used to track progress in off-policy-evaluation-29
Trend
Dataset
Best Model
Actions
No benchmarks available.
Libraries
iUse these libraries to find off-policy-evaluation-29 models and implementations
4 papers 612
Datasets
No datasets available.
Subtasks
No subtasks available.