337 search results - page 29 / 68 » Mean-Variance Optimization in Markov Decision Processes |
ECML
2007
Springer
14 years 1 months ago
2007
Springer
In this article, we present an idea for solving deterministic partially observable markov decision processes (POMDPs) based on a history space containing sequences of past observat...
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classifier Systems research. This framework is mostly used in the context ...
ECSQARU
2001
Springer
14 years 6 days ago
2001
Springer
Abstract. Finding optimal policies for general partially observable Markov decision processes (POMDPs) is computationally difficult primarily due to the need to perform dynamic-pr...
APNOMS
2006
Springer
13 years 11 months ago
2006
Springer
In this paper, we propose the localized adaptive QoS routing scheme using POMDP(partially observable Markov Decision Processes) and Exploration Bonus. In order to deal with POMDP p...
ICMLA
2008
13 years 9 months ago
2008
High dimensionality of belief space in Partially Observable Markov Decision Processes (POMDPs) is one of the major causes that severely restricts the applicability of this model. ...