Markov Models
Forward-BackwardLatentStateInferencefor HiddenContinuous-Timesemi-MarkovChains
Thepresented equations can be efficiently solved using well-known numerical methods.
Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs
Inverse optimal control can be used to characterize behavior in sequential decision-making tasks.
CounterfactualVision-and-LanguageNavigation: UnravellingtheUnseen
Aprominent challenge is to train an agent capable of generalising to new environments attest time, rather than one that simply memorises trajectories and visual details observed during training. We propose a new learning strategy that learns both from observations and generatedcounterfactual environments.
