4 papers
Cross-Treatment Effect Estimation for Multi-Category, Multi-Valued Causal Inference via Dynamic Neural Masking
Xiaopeng Ke, Yihan Yu, Ruyue Zhang +4
Counterfactual causal inference faces significant challenges when extended to multi-category, multi-valued treatments, where complex cross-effects between heterogeneous interventio…
A Comparative Study of Model Adaptation Strategies for Multi-Treatment Uplift Modeling
Ruyue Zhang, Xiaopeng Ke, Ming Liu +3
Uplift modeling has emerged as a crucial technique for individualized treatment effect estimation, particularly in fields such as marketing and healthcare. Modeling uplift effects…
Order Acquisition Under Competitive Pressure: A Rapidly Adaptive Reinforcement Learning Approach for Ride-Hailing Subsidy Strategies
Fangzhou Shi, Xiaopeng Ke, Xinye Xiong +3
The proliferation of ride-hailing aggregator platforms presents significant growth opportunities for ride-service providers by increasing order volume and gross merchandise value (…
An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailing
Xinlang Yue, Yiran Liu, Fangzhou Shi +4
Assigning orders to drivers under localized spatiotemporal context (micro-view order-dispatching) is a major task in Didi, as it influences ride-hailing service experience. Existin…