Multi-Agent Deep Reinforcement Learning in Cognitive Inter-Domain Networking with Multi-Broker Orchestration

This paper proposes, for the first time, a cognitive inter-domain networking framework with multi-broker orchestration and multi-agent deep reinforcement learning for multi-domain optical networks. Simulation results show > 17% blocking reduction compared to the baselines.