… execute its task by local computing or offloading computing. We denote αn ∈ {0, 1} as the
computation offloading decision of UE n and define the offloading decision vector as A = [α1,α2…

… for computation offloading. The problem of solving an optimal computation offloading policy …
the long-term utility performance whereby an offloading decision is made based on the task …

… and the delay constraint of heterogeneous computation tasks are both considered. 2) We
jointly optimize the computation offloading and resource allocation coordinately in MEC, and …

… Towards this end, we propose a deep reinforcement learning-based online offloading (DROO)
framework to maximize the weighted sum of the computation rates of all the WDs, ie, the …

… In this work, we design a task computation offloading model in a heterogeneous vehicular
… propose an adaptive computation offloading method based on deep reinforcement learning (…

… In this paper, we study the computation offloading problem … tation offloading algorithm,
namely deep reinforcement learn… dynamic environments via deep reinforcement learning. In …

… the vehicular computation offloading problem in mobile-edge computing (… offload their
computing tasks. We propose a multiagent deep reinforcement learning (DRL)-based computation …

… computation offloading in a dynamic MEC system with multiple edge servers, where
computational … are dynamically generated by IoT devices and offloaded to MEC servers in a time-…

… In this paper, we discuss the algorithm of offloading computation with reinforcement learning
in mobile fog. Using mobile agents, we can offload code blocks from mobile stations with …

… offloading decision optimization problem as a Markov decision process (MDP). Then, we
propose a partial computation offloading scheme based on reinforcement … optimal offloading …