334 search results - page 61 / 67 » How to Dynamically Merge Markov Decision Processes |
BTW
2009
Springer
15 years 27 days ago
2009
Springer
: Today, decision making by users of front office applications happens without analytical information supporting this process. We propose as solution Embedded Analytics (EA) making...
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AAAI
2006
14 years 11 months ago
2006
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
JMLR
2010
14 years 4 months ago
2010
Real stochastic processes operating in continuous time can be modeled by sets of stochastic differential equations. On the other hand, several popular model families, including hi...
HICSS
2003
IEEE
15 years 2 months ago
2003
IEEE
This paper uses partially observable Markov decision processes (POMDP’s) as a basic framework for MultiAgent planning. We distinguish three perspectives: first one is that of a...
ICDCS
2010
IEEE
15 years 1 months ago
2010
IEEE
—We propose a steepest descent method to compute optimal control parameters for balancing between multiple performance objectives in stateless stochastic scheduling, wherein the ...