Off-Policy Learning with Limited Supply
Off-Policy Learning with Limited Supply explores A novel off-policy learning method for contextual bandits that optimizes item allocation under limited supply constraints, outperforming existing methods on synthetic and real-world data.. Commercial viability score: 5/10 in Reinforcement Learning.
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