Continuous control is a widely applicable area of reinforcement learning. Themain players of this area are actor-critic methods that utilize policy gradients ofneural approximators as a common practice. The focus of our study is to showthe characteristics of the actor loss function which is the...

Retailers move products to eye-level shelves to boost their sales. However, little is known on what happens to the sales of products moved to other shelves as a result of bringing a product to the eye-level. We study how simultaneously changing the vertical locations of multiple products affects...

City dwellers often struggle with on-street parking. In most cities, once finally finding a curbside spot, drivers must pay in advance. However, drivers usually cannot accurately foresee how much parking time they need. Compared with traditional payment methods, i.e., cash and credit card...

We study a single-resource multi-class revenue management problem where the resource consumption for each class is random and only revealed at departure. The model is motivated by cargo revenue management problems in the airline and other shipping industries. We study how random resource...

Motivated by our collaboration with one of the largest fast-fashion retailers in Europe, we study a two-echelon inventory control problem called the One-Warehouse Multi-Store (OWMS) problem when the demand distribution is unknown. This system has a central warehouse that receives an initial...

We study how merchandising products as online-exclusive (i.e., products available only online) vs. hybrid (i.e., products available both online and offline) can improve the performance of ship-to-store (STS) services, an omnichannel retail fulfillment initiative that allows customers to pick up...

We consider a supply chain where a vendor manages its multiple retailers' stocks under a vendor managed inventory (VMI) contract that specifies upper stock limits at the retailers' premises and overstock costs for exceeding those limits. We formulate a mixed integer nonlinear program that...