Reinforcement Learning Enhanced Heterogeneous Graph Neural Network.
Zhiqiang ZhongCheng-Te LiJun PangPublished in: CoRR (2020)
Keyphrases
- neural network
- reinforcement learning
- function approximation
- graph representation
- artificial neural networks
- neural network model
- weighted graph
- graph model
- learning capabilities
- random walk
- graph structure
- model free
- back propagation
- fuzzy logic
- dynamic programming
- function approximators
- action selection
- temporal difference
- multi layer
- reinforcement learning algorithms
- graph based algorithm
- neural network is trained
- directed graph
- learning algorithm
- multi agent
- state space
- markov chain
- structured data
- fault diagnosis
- self organizing maps
- graph databases
- directed acyclic graph
- heterogeneous networks
- pattern recognition
- network model
- markov decision process
- radial basis function
- machine learning
- real world