15 search results - page 2 / 3 » Incremental Least-Squares Temporal Difference Learning |
122
Voted
ICDM
2009
IEEE
15 years 10 months ago
2009
IEEE
Abstract—Linear discriminant analysis (LDA) is a wellknown dimension reduction approach, which projects highdimensional data into a low-dimensional space with the best separation...
153
click to vote
NIPS
2001
15 years 5 months ago
2001
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
136
click to vote
PKDD
2009
Springer
15 years 10 months ago
2009
Springer
The goal of approximate policy evaluation is to “best” represent a target value function according to a specific criterion. Temporal difference methods and Bellman residual m...
163
click to vote
NECO
2011
14 years 10 months ago
2011
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
142
click to vote
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
We consider the task of reinforcement learning with linear value function approximation. Temporal difference algorithms, and in particular the Least-Squares Temporal Difference (L...