Anzhe Wang

Multi-Agent Reinforcement Learning With Spatial Structure Awareness for Topological Map-Based Path-Finding

Efficient Multi-Agent Path Finding (MAPF) is pivotal for warehouse logistics. While existing learning-based methods primarily rely on computationally intensive grid-based representations, topological maps offer a more flexible and scalable alternative - though this approach remains understudied. To