2005 search results - page 76 / 401 » Decisive Markov Chains |
123
click to vote
UAI
1998
15 years 2 months ago
1998
This paper presents two new approaches to decomposing and solving large Markov decision problems (MDPs), a partial decoupling method and a complete decoupling method. In these app...
138
click to vote
ECML
2005
Springer
15 years 7 months ago
2005
Springer
Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...
103
click to vote
AAAI
2007
15 years 3 months ago
2007
Planning under uncertainty involves two distinct sources of uncertainty: uncertainty about the effects of actions and uncertainty about the current state of the world. The most wi...
AAAI
2006
15 years 2 months ago
2006
In multiple criteria Markov Decision Processes (MDP) where multiple costs are incurred at every decision point, current methods solve them by minimising the expected primary cost ...
100
click to vote
ECAI
2010
Springer
15 years 2 months ago
2010
Springer
A Markov Decision Process (MDP) is a general model for solving planning problems under uncertainty. It has been extended to multiobjective MDP to address multicriteria or multiagen...