Ningyuan Chen

Reinforcement Learning for Intensity Control: An Application to Choice-Based Network Revenue Management

Learning from Snapshots Is Not Enough: An Even-Driven Continuous-Time Reinforcement Learning Framework Revenue management systems evolve continuously, but reinforcement learning often requires dividing time into a fixed grid. Fine grids improve accuracy but increase computation;...

Assortment Optimization for the Multinomial Logit Model with Repeated Customer Interactions

This paper presents the multinomial logit model with repeated customer interactions. In each period, the same customer selects a product from the recommended assortment or opts out. From the seller’s perspective, the choice probability in the current period is updated based on th...