Value Function Approximation in Noisy Environments Using Locally Smoothed Regularized Approximate Linear Programs.
Gavin TaylorRonald ParrPublished in: UAI (2012)
Keyphrases
- linear program
- noisy environments
- linear programming
- noise reduction
- simplex method
- objective function
- semi infinite
- digit recognition
- speech recognition
- speech enhancement
- linear programming problems
- stochastic programming
- column generation
- primal dual
- mixed integer
- np hard
- optimal solution
- speech signal
- integer program
- voice activity detection
- state space
- dynamic programming
- interior point methods
- special case
- linear inequalities
- extreme points
- mixed integer linear program
- convex functions
- temporal difference
- interior point
- computational complexity
- image processing
- machine learning
- market equilibrium
- neural network