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cs.LG2026
Diffusion-Based Data-Driven Assortment Optimization
Junyi Liao, Xiaohui Jiang, Zhengwei Tong +2
Assortment optimization is a fundamental problem in revenue management, typically addressed using parametric choice models such as the multinomial logit (MNL) and its variants. Whi…
cs.LG2026
Decoding Rewards in Competitive Games: Inverse Game Theory with Entropy Regularization
Junyi Liao, Zihan Zhu, Ethan Fang +2
Estimating the unknown reward functions driving agents' behaviors is of central interest in inverse reinforcement learning and game theory. To tackle this problem, we develop a uni…