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Perturbed Pricing
Published 23 Oct 2020 in cs.GT, math.OC, math.ST, stat.AP, and stat.TH | (2010.12300v1)
Abstract: We propose a simple randomized rule for the optimization of prices in revenue management with contextual information. It is known that the certainty equivalent pricing rule, albeit popular, is sub-optimal. We show that, by allowing a small amount of randomization around these certainty equivalent prices, the benefits of optimal pricing and low regret are achievable.
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