Upper bounds for Model-Free Row-Sparse Principal Component Analysis.
Guanyi WangSantanu S. DeyPublished in: ICML (2020)
Keyphrases
- model free
- upper bound
- sparse principal component analysis
- lower bound
- reinforcement learning
- reinforcement learning algorithms
- upper and lower bounds
- function approximation
- policy iteration
- principle component analysis
- temporal difference
- neural network
- sample size
- objective function
- principal component analysis
- state space
- policy evaluation
- data mining