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AIPS
2006
15 years 5 months ago
Probabilistic Planning with Nonlinear Utility Functions
Researchers often express probabilistic planning problems as Markov decision process models and then maximize the expected total reward. However, it is often rational to maximize ...
Yaxin Liu, Sven Koenig
TR
2010
126views Hardware» more  TR 2010»
14 years 10 months ago
Optimal Maintenance Strategies for Wind Turbine Systems Under Stochastic Weather Conditions
Abstract--We examine optimal repair strategies for wind turbines operated under stochastic weather conditions. In-situ sensors installed at wind turbines produce useful information...
Eunshin Byon, Lewis Ntaimo, Yu Ding
ECML
2006
Springer
15 years 5 months ago
Reinforcement Learning for MDPs with Constraints
In this article, I will consider Markov Decision Processes with two criteria, each defined as the expected value of an infinite horizon cumulative return. The second criterion is e...
Peter Geibel
CDC
2009
IEEE
147views Control Systems» more  CDC 2009»
15 years 1 months ago
A probabilistic approach for control of a stochastic system from LTL specifications
We consider the problem of controlling a continuous-time linear stochastic system from a specification given as a Linear Temporal Logic (LTL) formula over a set of linear predicate...
Morteza Lahijanian, Sean B. Andersson, Calin Belta
ICMCS
2009
IEEE
149views Multimedia» more  ICMCS 2009»
15 years 1 months ago
A multi-agent framework for a hybrid dialog management system
The importance of dialog management systems has increased in recent years. Dialog systems are created for domain specific applications, so that a high demand for a flexible dialog...
Stefan Schwärzler, Joachim Schenk, Günth...