Graph Signal Sampling via Reinforcement Learning.
Oleksii AbramenkoAlexander JungPublished in: CoRR (2018)
Keyphrases
- reinforcement learning
- compressive sampling
- signal processing
- high frequency
- graph structure
- graph representation
- structured data
- sampled data
- function approximation
- directed acyclic graph
- random walk
- markov decision processes
- directed graph
- graph theoretic
- random sampling
- compressive sensing
- compressed sensing
- frequency domain
- graph based algorithm
- state space
- sampling methods
- impulse response
- reinforcement learning algorithms
- neural network
- graph model
- weighted graph
- transfer learning
- learning process
- temporal difference
- sampling algorithm
- bipartite graph
- graph matching
- monte carlo
- dynamic programming