Vulcan: Solving the Steiner Tree Problem with Graph Neural Networks and Deep Reinforcement Learning.
Haizhou DuZong YanQiao XiangQinqing ZhanPublished in: CoRR (2021)
Keyphrases
- neural network
- reinforcement learning
- pattern recognition
- state space
- graph theory
- back propagation
- function approximation
- reinforcement learning agents
- graph representation
- multi layer
- connected components
- fuzzy logic
- artificial neural networks
- self organizing maps
- steiner tree
- function approximators
- reinforcement learning algorithms
- graph theoretic
- graph model
- random walk
- bipartite graph
- optimal policy
- recurrent neural networks
- directed graph
- structured data
- markov decision processes
- weighted graph
- neural nets
- knn
- temporal difference
- feed forward
- minimum spanning tree
- multicast routing