3 papers
cs.AI2026
Automated Design of Inventory Policy with Large Language Models: An Exploratory Study
Fenghua Yang, Preet Baxi, Yi Zhang +4
Firms making inventory decisions have access to operational data, optimization tools, and large language models (LLMs). Typically, data characterize the operating environment, opti…
cs.LG2020
Adaptive Risk Mitigation in Demand Learning
Parshan Pakiman, Boxiao Chen, Selvaprabu Nadarajah +1
We study dynamic pricing of a product with an unknown demand distribution over a finite horizon. Departing from the standard no-regret learning environment in which prices can be a…
cs.LG2020
Self-guided Approximate Linear Programs
Parshan Pakiman, Selvaprabu Nadarajah, Negar Soheili +1
Approximate linear programs (ALPs) are well-known models based on value function approximations (VFAs) to obtain policies and lower bounds on the optimal policy cost of discounted-…