RL-NCS: Reinforcement learning based data-driven approach for nonuniform compressed sensing.
Nazmul KarimAlireza ZaeemzadehNazanin RahnavardPublished in: CoRR (2021)
Keyphrases
- compressed sensing
- reinforcement learning
- image reconstruction
- natural images
- random projections
- function approximation
- sparse representation
- state space
- reinforcement learning algorithms
- model free
- temporal difference
- learning algorithm
- rl algorithms
- compressive sampling
- markov decision processes
- image segmentation
- machine learning
- document clustering
- optimal policy
- super resolution
- supervised learning
- function approximators