Congyuan Ji

Learning to Optimize: Joint Routing and Flow Allocation on Sparse Non-Euclidean Networks

This work proposes Double-Channel Graph Attention (DCGA), an end-to-end reinforcement learning framework that isolates network reachability and demand-service logic into separate graph channels and constructs valid routes using a simulator-coupled, constraint-informed decoder.