Digital Twin-Assisted Efficient Reinforcement Learning for Edge Task Scheduling. (arXiv:2208.01781v1 [cs.LG])

Task scheduling is a critical problem when one user offloads multiple
different tasks to the edge server. When a user has multiple tasks to offload
and only one task can be transmitted to server at a time, while server
processes tasks according to the transmission order, the problem is NP-hard.
However, it is difficult for traditional optimization methods to quickly obtain
the optimal solution, while approaches based on reinforcement learning face
with the challenge of excessively large action space and …

arxiv digital digital twin edge learning lg reinforcement reinforcement learning scheduling task scheduling