A correspondence is established between statistically augmented behavior trees and hidden Markov models to enable HMM algorithms on BT data.
hard” models (R = 0, all states have same observation density). Upper Right: SED vs Model perturbation, all ratios. Lower Right: “easy
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Hidden Markov Models derived from Behavior Trees
A correspondence is established between statistically augmented behavior trees and hidden Markov models to enable HMM algorithms on BT data.