Exploring compact reinforcement-learning representations with linear regression.
Thomas J. WalshIstvan SzitaCarlos DiukMichael L. LittmanPublished in: UAI (2009)
Keyphrases
- linear regression
- reinforcement learning
- least squares
- compact representations
- regression methods
- regression problems
- linear regression model
- kernel regression
- locally weighted
- ridge regression
- optimal policy
- nonlinear regression
- linear models
- function approximation
- function approximators
- regression method
- predictor variables
- kernel density estimators
- temporal difference learning
- reinforcement learning algorithms
- model free
- markov decision processes
- transfer learning
- video sequences