On-line Learning of Wide-domain Spoken Dialogue Systems
published: July 31, 2016, recorded: July 2016, views: 1132
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The first part of the talk reviews the general structure of limited domain statistical SDS and then explains how a collection of limited domain systems can be merged using the framework of Bayesian Committee Machines. The problem of reward estimation in on-line learning is then introduced and a solution based on the joint estimation of Gaussian Process based reward prediction and dialogue policy is presented.
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