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Found 2 papers, 1 papers with code
Learning Action Embeddings for Off-Policy Evaluation
Off-policy evaluation (OPE) methods allow us to compute the expected reward of a policy by using the logged data collected by a different policy.
Pessimistic Off-Policy Optimization for Learning to Rank
Off-policy learning is a framework for optimizing policies without deploying them, using data collected by another policy.
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