Graph Convolutional Reinforcement Learning for Dependent Task Allocation in Edge Computing.
Shiyao DingDonghui LinXin ZhouPublished in: ICA (2021)
Keyphrases
- reinforcement learning
- weighted graph
- undirected graph
- disjoint paths
- function approximation
- multi agent systems
- directed graph
- graph model
- vertex set
- edge detection
- graph representation
- edge information
- learning process
- graph theory
- state space
- edge weights
- multi agent
- bipartite graph
- graph matching
- structured data
- graph structure
- multi robot
- edge detector
- shortest path
- model free
- graph theoretic
- random walk
- strongly connected
- machine learning
- graph partitioning
- multiple agents
- deep learning
- dynamic programming