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Author

Sahar Mohammadpourian Navidi

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Jul 2026

Optimizing Computation Offloading in IoV Environments: A Hybrid Learning Automata and Deep Recurrent Q-Network Approach

LA-DRQN is proposed, a novel hierarchical decision-making framework that synergistically integrates Learning Automata at the strategic level for macro-policy selection with a Deep Recurrent Q-Network (DRQN) at the tactical level for fine-tuning computation offloading ratios.

Sahar Mohammadpourian Navidi, Mohammad Hossein Rezvani, Esmaeil Zeinali Khosraghi · 0 citations

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