Graph Signal Sampling via Reinforcement Learning.
Oleksii AbramenkoAlexander JungPublished in: ICASSP (2019)
Keyphrases
- reinforcement learning
- signal processing
- function approximation
- graph structure
- random sampling
- graph theoretic
- bipartite graph
- markov decision processes
- graph model
- structured data
- random walk
- state space
- graph representation
- graph theory
- temporal difference
- reinforcement learning algorithms
- sampling strategy
- compressive sampling
- multi agent
- optimal policy
- machine learning
- optimal control
- graph mining
- graph based algorithm
- model free
- sampling algorithm
- learning algorithm
- frequent subgraph mining
- adjacency matrix
- graph kernels
- semi supervised
- non stationary
- frequency domain
- undirected graph
- high frequency
- directed graph
- parameter space