Dependent Task Offloading in Vehicular Edge Computing Using Trajectory-Aware Deep Reinforcement Learning

Keyphrases

• Deep Reinforcement Learning (deep RL) 100%
• Roadside Unit 100%
• Dependent Task Offloading 100%
• Vehicular Edge Computing 100%
• Trajectory-aware 100%
• Directed Acyclic Graph 66%
• Transformer 33%
• Network Applications 33%
• Task Offloading 33%
• Proximal Policy Optimization 33%
• Actor-critic 33%
• Moving Vehicle 33%
• Offloading Computation 33%
• Dependent Tasks 33%
• Latency-sensitive Applications 33%
• Graph Attention Network 33%
• Future Trajectories 33%
• Mobility-aware 33%
• Coverage Interval 33%
• Short-term Mobility 33%
• Graph Library 33%
• Vehicle-to-roadside 33%

Computer Science

• Deep Reinforcement Learning 100%
• Edge Computing 100%
• Task Offloading 100%
• Directed Acyclic Graph 100%
• Computation Offloading 50%
• Sensitive Application 50%
• Graph Attention Network 50%
• Policy Optimization 50%

Social Sciences

• Deep Reinforcement Learning 100%
• Edge Computing 100%
• Proximal Policy Optimization 50%