RMDDQN-Learning: Computation Offloading Algorithm Based on Dynamic Adaptive Multi -Objective Reinforcement Learning in Internet of Vehicles

Zhang, Xiangjun; Wu, Weiguo; Wang, Jinyu; Liu, Song

doi:10.1109/tvt.2023.3270967

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RMDDQN-Learning: Computation Offloading Algorithm Based on Dynamic Adaptive Multi -Objective Reinforcement Learning in Internet of Vehicles

Cited by 4 publications

References 40 publications

Multi-objective task offloading for highly dynamic heterogeneous Vehicular Edge Computing: An efficient reinforcement learning approach

Multi-objective task offloading for highly dynamic heterogeneous Vehicular Edge Computing: An efficient reinforcement learning approach

Deep reinforcement learning-based resource scheduling for energy optimization and load balancing in SDN-driven edge computing

Cross-domain resources optimization for hybrid edge computing networks: federated DRL approach

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