11 citations · 11 across the 2 of their papers we have counts for
3 papers
VIL: Learning to Leverage Auxiliary Tasks for Multitask Learning
Rafael Kourdis, Gabriel Gordon-Hall, Philip John Gorinski
Multitask Learning is a Machine Learning paradigm that aims to train a range of (usually related) tasks with the help of a shared model. While the goal is often to improve the join…
Show Us the Way: Learning to Manage Dialog from Demonstrations
Gabriel Gordon-Hall, Philip John Gorinski, Gerasimos Lampouras +1
We present our submission to the End-to-End Multi-Domain Dialog Challenge Track of the Eighth Dialog System Technology Challenge. Our proposed dialog system adopts a pipeline archi…
Learning Dialog Policies from Weak Demonstrations
Gabriel Gordon-Hall, Philip John Gorinski, Shay B. Cohen
Deep reinforcement learning is a promising approach to training a dialog manager, but current methods struggle with the large state and action spaces of multi-domain dialog systems…