Publications

Scalable Learning

1. NIPS Under Review

   

   Descent-Guided Policy Gradient for Scalable Cooperative Multi-Agent Learning

   Tutorial

   Shan Yang and Yang Liu

   Under review at NeurIPS

   Scalable Learning Complex Systems Code

   Tutorial
2. TR-B/ISTTT

   

   Markov Game for CV Joint Adaptive Routing in Stochastic Traffic Networks: A Scalable Learning Approach

   Tutorial

   Shan Yang and Yang Liu

   Transportation Research Part B: Methodological (ISTTT Special Issue), 2024

   Scalable Learning Transportation

   Tutorial

Learning Theory

1. Arxiv Online

   

   Mean-Field Reinforcement Learning without Synchrony

   Tutorial

   Shan Yang

   Learning Theory

   Tutorial
2. Accepted by ISTTT

   

   Model-Supplementary Learning for Congestion Pricing: A Bias-Aware Natural Policy Gradient Approach

   Shan Yang, Linhuan Zhong, and Yang Liu

   Learning Theory Optimization

System Modeling

1. R&R MSOM

   

   Designing a Forward-Looking Probabilistic Matching Policy for Dynamic Ridepooling Service

   Shan Yang, Yuzhen Feng, Xiaolei Wang, and 1 more author

   Reject&Resubmit at Manufacturing & Service Operations Management (utd24)

   System Modeling Transportation
2. Thesis Chapter

   

   Learn to Disseminate Personalized Information to Vehicles in Stochastic Traffic Networks

   Shan Yang and Yang Liu

   Ready to submit

   System Modeling Transportation

Transportation

1. TR-B

   

   Predicting the Matching Probability and Ride/Shared Distance for Each Dynamic Ridepooling Order: A Mathematical Modeling Approach

   Jun Wang, Xiaolei Wang, Shan Yang, and 3 more authors

   Transportation Research Part B: Methodological, 2021

   Transportation System Modeling Code