Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure.
Tyler SamYudong ChenChristina Lee YuPublished in: CoRR (2022)
Keyphrases
- low rank
- reinforcement learning
- matrix completion
- low rank matrix
- missing data
- matrix factorization
- linear combination
- convex optimization
- high dimensional data
- semi supervised
- matrix decomposition
- rank minimization
- high order
- kernel matrix
- trace norm
- low rank matrices
- singular value decomposition
- image processing
- function approximation
- state space