A Q-Learning Approach for Dynamic Resource Management in Three-Tier Vehicular Fog Computing

Ähnliche Einträge

• Reinforcement Learning for Resource Allocation in Vehicular Multi-Fog Computing
  von: Akbarzadeh, Mohammad Hadi, et al.
  Veröffentlicht: (2025)
• Grey Wolf-Based Task Scheduling in Vehicular Fog Computing Systems
  von: Taghizadeh, Maryam, et al.
  Veröffentlicht: (2024)
• Deep Reinforcement Learning for Delay-Optimized Task Offloading in Vehicular Fog Computing
  von: Toopchinezhad, Mohammad Parsa, et al.
  Veröffentlicht: (2024)
• Hierarchical Reinforcement Learning for Integrated Cloud-Fog-Edge Computing in IoT Systems
  von: Zarei, Ameneh, et al.
  Veröffentlicht: (2025)
• Joint Computing Resource Allocation and Task Offloading in Vehicular Fog Computing Systems Under Asymmetric Information
  von: Sun, Geng, et al.
  Veröffentlicht: (2025)