EdgeTimer: Adaptive Multi-Timescale Scheduling in Mobile Edge Computing with Deep Reinforcement Learning.
Yijun HaoShusen YangFang LiYifan ZhangShibo WangXuebin RenPublished in: CoRR (2024)
Keyphrases
- reinforcement learning
- mobile devices
- function approximation
- adaptive control
- scheduling problem
- mobile phone
- edge detection
- model free
- mobile applications
- machine learning
- learning capabilities
- mobile computing
- mobile users
- scheduling algorithm
- markov decision processes
- resource allocation
- state space
- computing environments
- edge detector
- weighted graph
- edge information
- mobile environments
- reinforcement learning algorithms
- neural network
- round robin
- real time database systems
- flexible manufacturing systems