Adaptive Routing Optimization With Cost and Deadline Awareness Using Hierarchical Deep Reinforcement Learning
Timely and cost-efficient data transfers in large-scale networks remain challenging due to diverse topologies, non-uniform pricing models, and variable traffic demands. Existing literature often relies on multi-objective optimization, employing heuristic methods to reduce computational complexity; however, these approa...