CayleyPy RL: Pathfinding and Reinforcement Learning on Cayley Graphs

ArXi:2502.18663v3 Announce Type: replace This paper is the second in a series of studies on developing efficient artificial intelligence-based approaches to pathfinding on extremely large graphs (e.g. $10^{70}$ nodes) with a focus on Cayley graphs and mathematical applications. The open-source CayleyPy project is a central component of our research. The present paper proposes a novel combination of a reinforcement learning approach with a direct diffusion distance approach from the first paper.