Revenue Optimization against Strategic Buyers

Neural Information Processing Systems 

We present a revenue optimization algorithm for posted-price auctions when facing a buyer with random valuations who seeks to optimize his \gamma -discounted surplus. To analyze this problem, we introduce the notion of epsilon-strategic buyer, a more natural notion of strategic behavior than what has been used in the past.