Routing based on deep reinforcement learning in optical transport networks

This paper addresses the use of Deep Reinforcement Learning for automatic routing in Optical Transport Networks at the electrical-layer level. We propose a DRL-based solution that achieves both high performance and fast learning.
Peer Reviewed
Postprint (published version)