IEEE

Deep Reinforcement Learning for QoT-Aware Routing, Modulation, and Spectrum Assignment in Elastic Optical Networks

Abstract: Deep reinforcement learning (DRL) has been applied to the routing, modulation, and spectrum assignment (RMSA) in elastic optical networks (EON), enabling the learning of RMSA policies ...
IEEE

Artificial Intelligence in Combat Decision-Making: Weapon Target Assignment via Reinforcement Learning and Graph Neural Networks

Abstract: Selecting targets to attack and assigning weapons are among the most critical decisions on the battlefield. The decision problem is represented as a dynamic weapon-target assignment (DWTA) ...