SparRL: Graph Sparsification via Deep Reinforcement Learning.
Ryan WickmanPublished in: SIGMOD Conference (2022)
Keyphrases
- reinforcement learning
- graph representation
- directed graph
- state space
- connected components
- graph structure
- stable set
- directed acyclic graph
- function approximation
- graph construction
- least squares
- model free
- graph theoretic
- reinforcement learning algorithms
- graph clustering
- graph based algorithm
- markov decision processes
- search algorithm
- function approximators
- deep learning
- transition model
- temporal difference
- action selection
- machine learning
- learning algorithm
- undirected graph
- spanning tree
- graph model
- clustering algorithm
- link analysis
- optimal control
- neural network
- graph theory
- bipartite graph
- graph matching
- learning problems
- bayesian networks
- multi agent
- optimal policy