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» Stochastic Analysis of Dynamic Processes
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AI
2000
Springer
14 years 9 months ago
Stochastic dynamic programming with factored representations
Markov decisionprocesses(MDPs) haveproven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for solving MDPs rely on explicit, stat...
Craig Boutilier, Richard Dearden, Moisés Go...
UAI
2000
14 years 11 months ago
Building a Stochastic Dynamic Model of Application Use
Many intelligent user interfaces employ application and user models to determine the user's preferences, goals and likely future actions. Such models require application anal...
Peter Gorniak, David Poole
AAAI
2004
14 years 11 months ago
Dynamic Programming for Partially Observable Stochastic Games
We develop an exact dynamic programming algorithm for partially observable stochastic games (POSGs). The algorithm is a synthesis of dynamic programming for partially observable M...
Eric A. Hansen, Daniel S. Bernstein, Shlomo Zilber...
ICML
2009
IEEE
15 years 4 months ago
Grammatical inference as a principal component analysis problem
One of the main problems in probabilistic grammatical inference consists in inferring a stochastic language, i.e. a probability distribution, in some class of probabilistic models...
Raphaël Bailly, François Denis, Liva R...
IMCSIT
2010
14 years 7 months ago
On the Numerical Analysis of Stochastic Lotka-Volterra Models
The stochastic Lotka-Volterra model is an infinite Markov population model that has applications in various life science domains. Its analysis is challenging since, besides an infi...
Tugrul Dayar, Linar Mikeev, Verena Wolf