Kang Li

A Sequential Constructive Reinforcement Learning Approach to Heterogeneous and Dynamic Multi-Vehicle Routing

Efficient vehicle routing is a fundamental problem in logistics and automated transportation systems, particularly in real-world settings where heterogeneous vehicle fleets operate under dynamic demand arrivals and stochastic travel conditions. Most existing methods are designed for static or homogeneous scenarios and...