Uncertainty-aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning.
Tong SangHongyao TangJianye HaoYan ZhengZhaopeng MengPublished in: CoRR (2021)
Keyphrases
- low rank
- reinforcement learning
- missing data
- matrix factorization
- low rank matrix
- singular value decomposition
- linear combination
- convex optimization
- matrix decomposition
- rank minimization
- matrix completion
- semi supervised
- kernel matrix
- high order
- trace norm
- factorization methods
- high dimensional data
- data matrix
- regularized regression
- function approximation
- minimization problems
- frobenius norm
- nuclear norm
- singular values
- binary matrix
- low rank approximation
- low rank and sparse
- kernel matrices
- learning problems
- low rank matrices
- least squares
- collaborative filtering
- learning process
- recommender systems
- state space
- missing values
- kernel methods
- temporal difference