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Off-Policy Evaluation of Bandit Algorithm from Dependent Samples under Batch Update Policy
The goal of off-policy evaluation (OPE) is to evaluate a new policy using historical data obtained via a behavior policy.
Off-Policy Exploitability-Evaluation in Two-Player Zero-Sum Markov Games
The proposed estimators project exploitability that is often used as a metric for determining how close a policy profile (i. e., a tuple of policies) is to a Nash equilibrium in two-player zero-sum games.
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