Reinforcement Learning for Scalable Logic Optimization with Graph Neural Networks.
Xavier TimonedaLukas CavigelliPublished in: CoRR (2021)
Keyphrases
- neural network
- reinforcement learning
- fuzzy logic
- pattern recognition
- genetic algorithm
- artificial neural networks
- optimization problems
- directed graph
- back propagation
- random walk
- optimization algorithm
- learning process
- learning capabilities
- optimization process
- neural nets
- bipartite graph
- highly non linear
- temporal difference
- learning classifier systems
- graph databases
- graph matching
- modal logic
- learning algorithm
- optimization method
- graph structure
- directed acyclic graph
- graph representation
- graph theoretic
- connected components
- graph data
- multi agent