Idle Vehicle Rebalancing in Semiconductor Fabrication Using Factorized Graph Neural Network Reinforcement Learning.
Kyuree AhnJinkyoo ParkPublished in: CDC (2019)
Keyphrases
- neural network
- reinforcement learning
- graph theory
- plasma etching
- semiconductor devices
- graph representation
- function approximators
- graph structure
- function approximation
- random walk
- real time
- pedestrian detection
- pattern recognition
- artificial neural networks
- back propagation
- directed graph
- radial basis function
- neural network model
- integrated circuit
- state space
- bipartite graph
- response time
- genetic algorithm
- model free
- graph model
- graph mining
- directed acyclic graph
- optimal control
- machine learning
- graph matching
- optimal policy
- search space
- dynamic programming
- matrix factorization
- high density
- markov decision processes
- learning capabilities
- vehicle detection
- search algorithm
- x ray