Sparse Reinforcement Learning via Convex Optimization.
Zhiwei QinWeichang LiFirdaus JanoosPublished in: ICML (2014)
Keyphrases
- convex optimization
- reinforcement learning
- norm regularization
- basis pursuit
- low rank matrix
- low rank
- interior point methods
- low rank textures
- total variation
- norm minimization
- group lasso
- high dimensional
- convex optimization problems
- convex relaxation
- primal dual
- sparse representation
- higher order
- supervised learning
- convex formulation
- dynamic programming
- semidefinite program
- low rank and sparse
- object recognition