Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure.
Tyler SamYudong ChenChristina Lee YuPublished in: Proc. ACM Meas. Anal. Comput. Syst. (2023)
Keyphrases
- low rank
- reinforcement learning
- missing data
- matrix factorization
- linear combination
- convex optimization
- singular value decomposition
- low rank matrix
- matrix completion
- matrix decomposition
- semi supervised
- kernel matrix
- high order
- rank minimization
- learning algorithm
- machine learning
- trace norm
- low rank matrices
- data sets
- function approximation
- high dimensional data
- least squares
- state space
- neural network