Reinforcement Learning for Resilient Network Routing in Challenging Environments

This research explores the application of reinforcement learning to improve network routing in the face of clustered faults within a Gaussian interconnected network. The use of reinforcement learning is a promising approach to creating more robust and adaptable routing protocols.