… offloading targets for TVs or other CAVs. This adds options for offloading vehicle tasks
and fully utilizes the computational … algorithm, the distributed double deep Q-network (DDDQN). …

… of Intelligent Connected Vehicles (ICVs), more effective computation … for large-scale network
implementation. We observe that an … a double DQN-based strategic computation offloading …

… double deep Q network-based computation task offloading (… solve the computation task
offloading problem P1 for vehicle … kind of distributed learning where the model training process …

… from moving vehicles, we establish a dynamic offloading model for … Dai, “Cooperative data
sensing and computation offloading in … include distributed deep learning and edge computing. …

… vehicle mobility, we conduct a candidate service vehicle (CSV) model to undertake
communication constraints. Further, we propose a distributed computation offloading … named …

… The data center is responsible for the training model, each vehicle selects a MEC server
to offload tasks in a distributed way. Our MDRCO scheme can decrease the unstability of a …

… Firstly, the clipped double-Q learning technique is introduced … two Q-functions and using
the Q-function with a smaller Q-… connected vehicles,” IEEE Internet Things J., vol. 7, no. 9, pp. …

… a better system of compute offloading. Mobile edge computing can considerably increase …
, we first suggest an offloading model that can be applied to any distribution of X, and for the …

… , in which some vehicles (such as autonomous vehicle) are … in the neural networks, dual
nerual network structure is adopted … Distributed V2V computing offloading method based on …

… investigate a distributed dynamic computation offloading model … the autonomous offloading
manner of the vehicles, we … -learning and double deep Q network (DDQN), which can quickly …