A Global DAG Task Scheduler Using Deep Reinforcement Learning and Graph Convolution Network.
Hyunsung LeeSangwoo ChoYeongjae JangJinkyu LeeHonguk WooPublished in: IEEE Access (2021)
Keyphrases
- reinforcement learning
- directed acyclic graph
- global information
- spanning tree
- network model
- function approximation
- wireless sensor networks
- directed acyclic
- fully connected
- resource utilization
- random graphs
- graphical representation
- complex networks
- link prediction
- directed graph
- graph theory
- dynamic networks
- network structure
- graph model
- graph representation
- global structure
- structured data
- social networks
- network size
- state space
- scale free
- peer to peer
- random walk
- small world
- shortest path
- communication networks
- markov decision processes
- graph structure
- scheduling algorithm