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Computation Offloading Algorithm Based on Deep Reinforcement Learning and Multi-Task Dependency for Edge Computing
Tengxiang Lin,
Cheng Kuan Lin
, Zhen Chen, Hongju Cheng
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資訊工程學系
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Keyphrases
Algorithm Accuracy
50%
Algorithms Effectiveness
50%
Baseline Algorithm
50%
BOAST
50%
Computation Offloading
100%
Computational Resources
50%
Computing Paradigm
50%
Deep Q-network
50%
Dependency Information
50%
Edge Computing
50%
Edge Server
50%
Graph Attention Network
50%
High Concurrency
50%
Long Short-term Memory
50%
Markov Decision Process
50%
Multi-task
50%
Network Edge
50%
Offloading Algorithms
50%
Offloading Decision
50%
Reinforcement Learning
100%
Service Latency
50%
Simulation Experiment
50%
Storage Resources
50%
Task Dependency
100%
Task Offloading
50%
Time-dependent Problems
50%
Computer Science
Attention (Machine Learning)
50%
Computation Offloading
100%
computing paradigm
50%
Concurrency
50%
Deep Q-Network
50%
Deep Reinforcement Learning
50%
Edge Computing
50%
Edge Server
50%
Long Short-Term Memory Network
50%
Markov Decision Process
50%
Reinforcement Learning
100%
Simulation Experiment
50%
Storage Resource
50%
Task Dependency
100%
Task Offloading
50%