L Huang, S Bi, YJA Zhang - … Transactions on Mobile Computing, 2019 - ieeexplore.ieee.org
… Towards this end, we propose a deepreinforcementlearning-based online offloading (DROO) framework to maximize the weighted sum of the computation rates of all the WDs, ie, the …
M Tang, VWS Wong - IEEE Transactions on Mobile Computing, 2020 - ieeexplore.ieee.org
… tasks as well as edge load dynamics, and formulate a task offloading problem to minimize the expected long-term cost. We propose a model-free deepreinforcementlearning-based …
H Zhou, K Jiang, X Liu, X Li… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
… enabled mobile-edgecomputing: A deepreinforcementlearning … for mobileedgecomputing by deepreinforcementlearning … mobileedgecomputing via deepreinforcementlearning for …
… To address the first technical challenge in Remark 2, we adopt a model-free reinforcement learning scheme called Qlearning [10], which allows us to learn the optimal control policy …
R Zhao, X Wang, J Xia, L Fan - Physical Communication, 2020 - Elsevier
… In this paper, we investigate mobileedgecomputing (MEC) … some computational tasks assisted by multiple computational … the deepreinforcementlearning algorithm. In this algorithm, …
… mobilefog, we apply the distributed reinforcementlearning to solve the code offloading issue of mobilefog. … offload codes: (1) mobilefog in neighboring mobile stations O 1 . (2) the near …
… Smart cities can benefit from offloading to edge points in the … mobileedgecomputing networks (MECNs) in more than one region, and they consist of multiple access points, multi-edge …
L Ale, N Zhang, X Fang, X Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
… In this work, we propose a deepreinforcementlearning approach for delay-… learning scheme jointly optimizes the offloading servers and computational frequency allocation of edge …
… ), we propose a deepReinforcementleArning based trajectory control algorithm (RAT). In RAT, we apply the Prioritized Experience Replay (PER) to improve the convergence of the …