515 search results - page 12 / 103 » Approximating Markov Processes by Averaging |
STACS
2007
Springer
14 years 1 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 ...
MOR
2008
13 years 7 months ago
2008
We consider the average cost problem for partially observable Markov decision processes (POMDP) with finite state, observation, and control spaces. We prove that there exists an -...
IJCAI
2001
13 years 8 months ago
2001
A general and expressive model of sequential decision making under uncertainty is provided by the Markov decision processes (MDPs) framework. Complex applications with very large ...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
Gossip algorithms have recently received significant attention, mainly because they constitute simple and robust message-passing schemes for distributed information processing over...
MEMOCODE
2006
IEEE
14 years 1 months ago
2006
IEEE
Data flow models are used for specifying and analysing signal processing and streaming applications. However, traditional data flow models are either not capable of expressing t...