We investigate the optimal Bayesian dynamic pricing and demand learning policy over short selling horizons, where the pricing decisions are time-sensitive. The seller fine-tunes the price near an incumbent price in order to maximize the total revenue. The existing literature focuses on policies...

Biodiversity is being lost at an unprecedented and accelerating rate. A pressing issue is how to improve the effectiveness of conservation with limited information and resources available. We develop a Bayes-adaptive POMDP framework to optimize the learning and management of threatened species...