A new importance-weighted estimator, OPFV, estimates and optimizes future policy value in non-stationary bandit environments by leveraging recurring time features in historical logs.
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Off-Policy Evaluation and Learning for the Future under Non-Stationarity
A new importance-weighted estimator, OPFV, estimates and optimizes future policy value in non-stationary bandit environments by leveraging recurring time features in historical logs.