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Speeding up Online POMDP planning - unification of observation branches by belief-state compression via expected feature values

Author: Rens, G Date: Jan 2015 A novel algorithm to speed up online planning in partially observable Markov decision processes (POMDPs) is introduced. I propose a method for compressing nodes in belief-decision-trees while planning occurs. Whereas belief-decision-trees ... Read more

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Browsing by Subject "Belief-state Compression"

Browsing by Subject "Belief-state Compression"

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