3 papers
cs.AI2025
Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems
Ni Zhang, Zhiguang Cao
Existing GFlowNet-based methods for vehicle routing problems (VRPs) typically employ Trajectory Balance (TB) to achieve global optimization but often neglect important aspects of l…
cs.LG2025
Adversarial Generative Flow Network for Solving Vehicle Routing Problems
Ni Zhang, Jingfeng Yang, Zhiguang Cao +1
Recent research into solving vehicle routing problems (VRPs) has gained significant traction, particularly through the application of deep (reinforcement) learning for end-to-end s…
cs.AI2025
Rethinking Light Decoder-based Solvers for Vehicle Routing Problems
Ziwei Huang, Jianan Zhou, Zhiguang Cao +1
Light decoder-based solvers have gained popularity for solving vehicle routing problems (VRPs) due to their efficiency and ease of integration with reinforcement learning algorithm…