3 papers
econ.GN2026
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…
econ.GN2026
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…
q-fin.MF2024
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.…