Sparsity Prior Regularized Q-learning for Sparse Action Tasks.
Jing-Cheng PangTian XuShengyi JiangYu-Ren LiuYang YuPublished in: CoRR (2021)
Keyphrases
- sparsity constraints
- sparse representation
- action selection
- sparsity inducing
- high dimensional
- reinforcement learning
- mixed norm
- cooperative
- sparse reconstruction
- dictionary learning
- basis pursuit
- sparse linear
- structured sparsity
- multi agent
- variable selection
- function approximation
- prior knowledge
- dynamic programming
- least squares
- dimensionality reduction
- optimal policy
- sparse approximations
- sparse regression
- collaborative filtering
- sparse learning
- low rank
- sparse approximation
- total least squares
- tensor factorization
- regularized least squares
- state action
- sparse coding
- multi task