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Showing 1 to 2 of 2 for “"Intent Inference"”.
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Stochastic Modelling and Approximate Bayesian Inference: Applications in Object Tracking and Intent Analysis
As two fundamental pillars of Bayesian inference for time series, stochastic modelling and approximate Bayesian inference play crucial roles in providing accurate priors for underlying random processes and addressing the challenges of evaluating posterior distributions when exact computation is …
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Inferring the Human's Objective in Human Robot Interaction
This thesis discusses the use of Bayesian Inference in inferring over the human's objective for Human-Robot Interaction, more specifically, it focuses upon the adaptation of methods to better utilize the information for inferring upon the human's objective for Reward Learning and Communicative …