4 papers
A Comparative Study of Dynamic Programming and Reinforcement Learning in Finite Horizon Dynamic Pricing
Lev Razumovskiy, Nikolay Karenin
This paper provides a systematic comparison between Fitted Dynamic Programming (DP), where demand is estimated from data, and Reinforcement Learning (RL) methods in finite-horizon…
The Revenue Effect of Demand Misspecification in Event Ticket Pricing
Lev Razumovskiy, Nikolay Karenin, Mikhail Safro
We study a finite-horizon dynamic pricing problem for event tickets with limited inventory and time-varying demand. The central practical difficulty is that the total demand functi…
Implementing Dynamic Pricing Across Multiple Pricing Groups in Real Estate
Lev Razumovskiy, Mariya Gerasimova, Nikolay Karenin +1
This article presents a mathematical model of dynamic pricing for real estate (RE) that incorporates multiple pricing groups, thereby expanding the capabilities of existing models.…
Dynamic Pricing for Real Estate
Lev Razumovskiy, Mariya Gerasimova, Nikolay Karenin
We study a mathematical model for the optimization of the price of real estate (RE). This model can be characterised by a limited amount of goods, fixed sales horizon and presence…