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ECSQARU
2001
Springer
15 years 2 months ago
Space-Progressive Value Iteration: An Anytime Algorithm for a Class of POMDPs
Abstract. Finding optimal policies for general partially observable Markov decision processes (POMDPs) is computationally difficult primarily due to the need to perform dynamic-pr...
Nevin Lianwen Zhang, Weihong Zhang
AAAI
2007
15 years 4 days ago
Scaling Up: Solving POMDPs through Value Based Clustering
Partially Observable Markov Decision Processes (POMDPs) provide an appropriately rich model for agents operating under partial knowledge of the environment. Since finding an opti...
Yan Virin, Guy Shani, Solomon Eyal Shimony, Ronen ...
FLAIRS
2006
14 years 11 months ago
Some Second Order Effects on Interval Based Probabilities
In real-life decision analysis, the probabilities and values of consequences are in general vague and imprecise. One way to model imprecise probabilities is to represent a probabi...
David Sundgren, Mats Danielson, Love Ekenberg
AI
2011
Springer
14 years 1 months ago
Parallelizing a Convergent Approximate Inference Method
Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
Ming Su, Elizabeth Thompson
CORR
2008
Springer
101views Education» more  CORR 2008»
14 years 10 months ago
Belief decision support and reject for textured images characterization
: The textured images' classification assumes to consider the images in terms of area with the same texture. In uncertain environment, it could be better to take an imprecise ...
Arnaud Martin