Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure.
Tyler SamYudong ChenChristina Lee YuPublished in: SIGMETRICS Perform. Evaluation Rev. (2023)
Keyphrases
- low rank
- reinforcement learning
- convex optimization
- linear combination
- matrix factorization
- missing data
- rank minimization
- machine learning
- matrix completion
- high dimensional data
- singular value decomposition
- low rank matrix
- kernel matrix
- matrix decomposition
- learning algorithm
- latent variables
- neural network
- image restoration
- semi supervised
- pairwise
- robust principal component analysis