499 search results - page 43 / 100 » Model Minimization in Markov Decision Processes |
CORR
2006
Springer
13 years 8 months ago
2006
Springer
This paper addresses the issue of policy evaluation in Markov Decision Processes, using linear function approximation. It provides a unified view of algorithms such as TD(), LSTD()...
WEBI
2010
Springer
13 years 6 months ago
2010
Springer
A user's cognitive style has been found to affect how they search for information, how they analyze the information, and how they make decisions in an analytical process. In ...
ICCV
2011
IEEE
12 years 8 months ago
2011
IEEE
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
ICIP
2003
IEEE
14 years 10 months ago
2003
IEEE
A new probabilistic image segmentation model based on hypothesis testing and Gibbs Random Fields is introduced. First, a probabilistic difference measure derived from a set of hyp...
PRICAI
2000
Springer
14 years 9 days ago
2000
Springer
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...