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cs.LG2026
Neural-Bayesian Structure Learning for Discrete Choice Modeling
Hyunsoo Yun, Eun Hak Lee, Jiaru Zhang +2
Conventional discrete choice and machine learning models are estimated primarily from observational data and typically treat explanatory covariates as parallel inputs, providing no…
cs.RO2026
Knowledge-Data-Dual-Driven Reinforcement Learning for Autonomous Vehicle Control in Mixed Traffic
Jie Fang, Wei Zheng, Mengyun Xu +1
In mixed traffic, decision-making for autonomous vehicles (AVs) confronts three interrelated challenges. First, physics-based priors incorporated into reinforcement learning (RL) m…