Dynamic pricing allows one to adjust incentives over time to reflect changing circumstances. One example is that of pricing parking spots, where prices may rise as less spots are available. Another example is that of dynamically setting prices to improve performance of taxi scheduling, so-called surge pricing used by Uber. In this talk we will survey and discuss a variety of settings where dynamic pricing has been used. These include problems such as parking (also called metrical matching), metrical task systems, the k-server problem, dynamic market clearing prices, for queue management, for changing supply in response to shifting demand, etc.
11:00 à 12:00
