43 search results - page 1 / 9 » Sensitivity Analysis of POMDP Value Functions |
105
Voted
ICMLA
2009
14 years 10 months ago
2009
In sequential decision making under uncertainty, as in many other modeling endeavors, researchers observe a dynamical system and collect data measuring its behavior over time. The...
ATAL
2010
Springer
15 years 1 months ago
2010
Springer
Partially Observable Markov Decision Process (POMDP) is a popular framework for planning under uncertainty in partially observable domains. Yet, the POMDP model is riskneutral in ...
94
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AAAI
2008
15 years 2 months ago
2008
Partially Observable Markov Decision Processes have been studied widely as a model for decision making under uncertainty, and a number of methods have been developed to find the s...
111
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AI
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. Current point-based planning algorithms for solving partially observable Markov decision processes (POMDPs) have demonstrated that a good approximation of the value funct...
158
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PAMI
2007
14 years 11 months ago
2007
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...