… greatly eased via MEC offloading. However, existing task offloading schemes had insufficient
… Toward this end, we design an intelligent task offloading scheme based on deep Q learning…

… When the task is offloaded to edge cloud, it may encounter the problem that the … the computing
capacity of edge cloud. At this time, the computation task offloading strategy that adapts to …

… It adds computational power towards the edge of cellular … allows the users to offload tasks
to the edge computing nodes for … utility of tasks, we propose to make task offloading decisions …

… 3) Summary: We investigated the available literature leveraging RL/DRL approaches for
task offloading toward the MEC server, and their main features are summarized in Table IV. …

… However, most existing edge computing offloading work only considers static scenarios. …
-edge-cloud architecture of vehicles for task offloading computation, where considers three task …

… cess tasks with low computing and high communication cost. In this article, a three-layer task
offloading … In case 3: computation tasks offloaded toward the edge nodes due to their high …

… task offloading strategy that provides improved QoE and guarantees reliability. In this
paper, we develop a novel task offloading framework for air-ground integrated vehicular edge …

… have paved a way towards realizing new application such as … task offloading scheme to
select the optimal edge server and the optimal transmission mode to maximize task offloading …

… aware partial computing task offloading system for multiuser … offloading decision making.
We establish a deep RL framework that supports delay-aware partial computing tasks offloading…

… Moreover, proposed algorithm search optimal available resources node to offload task
towards the trade-off between energy and latency. The experimental results show the benefits of …