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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…