Dynamic Pricing and Advertising with Demand Learning
The episode discusses a paper on dynamic pricing and advertising with demand learning by Agrawal, Feng, and Tang. They analyze how advertising can double revenue but not more, for a broad class of valuation functions. The authors present a learning algorithm that optimizes price and advertising strategy without needing smoothness assumptions on the demand function.