Automated program improvement with reinforcement learning and graph neural networks.
Natasa SukurNemanja MilosevicDoni PracnerZoran BudimacPublished in: Soft Comput. (2024)
Keyphrases
- reinforcement learning
- neural network
- random walk
- directed graph
- graph structure
- function approximation
- significant improvement
- semi automated
- graph representation
- function approximators
- pattern recognition
- artificial neural networks
- dynamic programming
- transfer learning
- graph theory
- static analysis
- machine learning
- graph partitioning
- directed acyclic graph
- fully automated
- structured data
- back propagation
- bipartite graph
- state space
- reinforcement learning algorithms
- neural nets
- optimal control
- fuzzy systems
- neural network model
- learning classifier systems
- markov decision processes
- learning capabilities
- genetic algorithm