HRL-TaskOpt: A Hierarchical Reinforcement Learning-Based Task Scheduling Framework for Multi-Cloud and Hybrid Environments
HRL-TaskOpt is presented, a novel Hierarchical Reinforcement Learning-based task scheduling framework that combines high-level global task offloading with millisecond-granularity local scheduling policies in an edge–cloud scenario and offers a scalable and intelligent solution for adaptive task scheduling.