Uncertainty-Aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning.
Tong SangHongyao TangJianye HaoYan ZhengZhaopeng MengPublished in: DAI (2021)
Keyphrases
- low rank
- reinforcement learning
- missing data
- low rank matrix
- convex optimization
- singular value decomposition
- linear combination
- matrix decomposition
- matrix factorization
- matrix completion
- rank minimization
- kernel matrix
- trace norm
- singular values
- frobenius norm
- semi supervised
- factorization methods
- data matrix
- kernel matrices
- high order
- high dimensional data
- nuclear norm
- minimization problems
- low rank matrices
- affinity matrix
- machine learning
- regularized regression
- low rank approximation
- function approximation
- learning algorithm
- state space
- robust principal component analysis
- transfer learning
- super resolution
- markov random field
- higher order
- pattern recognition
- image processing