Exploring compact reinforcement-learning representations with linear regression
Thomas J. WalshIstvan SzitaCarlos DiukMichael L. LittmanPublished in: CoRR (2012)
Keyphrases
- linear regression
- reinforcement learning
- least squares
- regression problems
- function approximation
- compact representations
- regression methods
- linear regression model
- ridge regression
- locally weighted
- linear models
- machine learning
- nonlinear regression
- state space
- markov decision processes
- generalized linear models
- reinforcement learning algorithms
- function approximators
- learning algorithm
- regression method
- regression trees
- optimal policy
- dynamic programming
- three dimensional
- probability models
- variable selection
- optical flow
- training data
- multivariate regression
- kernel density estimators