6329 search results - page 157 / 1266 » Detection of Stochastic Processes |
126
Voted
STACS
2007
Springer
15 years 9 months ago
2007
Springer
Markov decision processes (MDPs) are controllable discrete event systems with stochastic transitions. Performances of an MDP are evaluated by a payoff function. The controller of ...
159
Voted
ECML
2005
Springer
15 years 9 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...
147
Voted
ICWS
2004
IEEE
15 years 5 months ago
2004
IEEE
The advent of Web services has made automated workflow composition relevant to Web based applications. One technique that has received some attention, for automatically composing ...
137
Voted
AAAI
1998
15 years 5 months ago
1998
We present a technique for computing approximately optimal solutions to stochastic resource allocation problems modeled as Markov decision processes (MDPs). We exploit two key pro...
136
Voted
JAIR
2000
15 years 3 months ago
2000
Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...