Dynamic pricing is considered a possibility to gain an advantage over competitors in modern online markets. The past advancements in Reinforcement Learning (RL) provided more capable algorithms that can be used to solve pricing problems. In this paper, we study the performance of Deep Q-Networks...

We consider the spatial competition between two traditional physical (or offline) retailers and an Internet (or online) retailer where the efficiency of the latter differs from that of the former. We assume consumers are heterogeneous across two dimensions: (i) the costs of traveling to either...

Electronic coordination links markets at different locations that have initially been (partially) separated by transport costs. Rising competitive pressure should in turn affect incentives to differentiate products. In this paper investment decisions concerning transport cost reduction and...

"Electronic coordination links markets at different locations that have initially been (partially) separated by transport costs. Rising competitive pressure should in turn affect incentives to differentiate products. In this paper investment decisions concerning transport cost reduction and...