Reinforcement Learning for Resilient Network Routing in Challenging Environments
Published:Dec 23, 2025 14:31
•1 min read
•ArXiv
Analysis
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.
Key Takeaways
Reference
“Resilient Packet Forwarding: A Reinforcement Learning Approach to Routing in Gaussian Interconnected Networks with Clustered Faults”