OPLS is a new off-policy method for contextual bandits with limited supply that outperforms greedy approaches by prioritizing items with higher relative expected rewards for the current user.
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Off-Policy Learning with Limited Supply
OPLS is a new off-policy method for contextual bandits with limited supply that outperforms greedy approaches by prioritizing items with higher relative expected rewards for the current user.