The topic of dynamic pricing and learning has received a considerable amount of attention
in recent years, from different scientific communities. We survey these literature streams: we …

Over the last fifteen years, the theory and practice of revenue management has experienced
significant developments due to the need to incorporate customer choice behavior. In this …

This paper develops a model of dynamic pricing with endogenous intertemporal demand. In
the model, there is a monopolist who sells a finite inventory over a finite time horizon. The …

This third edition of Straight and Level thoroughly updates the previous edition with
extensive comments on recent industry developments and emerging business models. The …

This work provides a Deep Reinforcement Learning approach to solving a periodic review
inventory control system with stochastic vendor lead times, lost sales, correlated demand …

Choice models today are ubiquitous across a range of applications in operations and
marketing. Real-world implementations of many of these models face the formidable …

During the past few years, there has been a trend to enrich traditional revenue management
models built upon the independent demand paradigm by accounting for customer choice …

Customer behavior modeling has been gaining increasing attention in the operations
management community. In this paper we review current models of customer behavior in the …

We consider a multiperiod single product pricing problem with an unknown demand curve.
The seller's objective is to adjust prices in each period so as to maximize cumulative …

This paper addresses two concerns with the state of the art in network revenue management
with dependent demands. The first concern is that the basic attraction model (BAM), of which …