Adaptive multi-agent optimization in intelligent-connected vehicles based on deep reinforcement learning
In order to provide offloading services for computationally demanding and time-sensitive operations on vehicles, multi-access edge computing has emerged as a successful paradigm. However, there are typically spatiotemporal load mismatches across edge servers due to significant vehicle mobility. As a result, task migrat...
Shi Dong, Suliman A. Alsuhibany, A. Smerat et al.
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