A literature survey classifies DRL-based vehicular task offloading into centralized, distributed, and hierarchical architectures and identifies recurring gaps in MDP modeling, reward design, and evaluation.
Prioritized Task Offloading in Vehicular Edge Computing Us- ing Deep Reinforcement Learning,
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Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures
A literature survey classifies DRL-based vehicular task offloading into centralized, distributed, and hierarchical architectures and identifies recurring gaps in MDP modeling, reward design, and evaluation.