OPLS is a new off-policy learning method for contextual bandits with limited supply that outperforms conventional greedy approaches by prioritizing items with relatively higher expected rewards compared to other users.
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Off-Policy Learning with Limited Supply
OPLS is a new off-policy learning method for contextual bandits with limited supply that outperforms conventional greedy approaches by prioritizing items with relatively higher expected rewards compared to other users.