Towards High-Quality CGRA Mapping with Graph Neural Networks and Reinforcement Learning.
Yan ZhuangZhihao ZhangDajiang LiuPublished in: ICCAD (2022)
Keyphrases
- neural network
- high quality
- reinforcement learning
- pattern recognition
- graph model
- function approximation
- connected components
- random walk
- learning classifier systems
- weighted graph
- graph partitioning
- directed graph
- fuzzy logic
- artificial neural networks
- learning algorithm
- image quality
- structured data
- higher quality
- state space
- function approximators
- low quality
- learning capabilities
- undirected graph
- spanning tree
- evolutionary learning
- graph mining
- directed acyclic graph
- graph structure
- graph theory
- bipartite graph
- markov decision processes
- temporal difference
- graph construction
- activation function
- reinforcement learning algorithms
- multilayer perceptron
- feed forward
- neural network model
- self organizing maps
- back propagation
- supervised learning
- dynamic programming
- genetic algorithm
- machine learning