IEEE

Deep Reinforcement Learning-Based Motion Planning and PDE Control for Flexible Manipulators

Abstract: This article presents a motion planning and control framework for flexible robotic manipulators, integrating deep reinforcement learning (DRL) with a nonlinear partial differential equation ...
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 ...