HTBM: A Hybrid-Transformer-Based Method with Double Deep Q-Learning and Reptile Meta-Learning for Dynamic MEC Task Offloading
Mobile edge computing (MEC) enables computation-intensive applications to be processed close to end users. In dynamic MEC environments, task-offloading decisions must account for changing communication conditions, heterogeneous computing resources, and dependencies among fine-grained subtasks. Conventional reinforcemen...