2 citations · 2 across the 3 of their papers we have counts for
3 papers
Few-Shot Structured Policy Learning for Multi-Domain and Multi-Task Dialogues
Thibault Cordier, Tanguy Urvoy, Fabrice Lefevre +1
Reinforcement learning has been widely adopted to model dialogue managers in task-oriented dialogues. However, the user simulator provided by state-of-the-art dialogue frameworks a…
Graph Neural Network Policies and Imitation Learning for Multi-Domain Task-Oriented Dialogues
Thibault Cordier, Tanguy Urvoy, Fabrice Lefèvre +1
Task-oriented dialogue systems are designed to achieve specific goals while conversing with humans. In practice, they may have to handle simultaneously several domains and tasks. T…
Diluted Near-Optimal Expert Demonstrations for Guiding Dialogue Stochastic Policy Optimisation
Thibault Cordier, Tanguy Urvoy, Lina M. Rojas-Barahona +1
A learning dialogue agent can infer its behaviour from interactions with the users. These interactions can be taken from either human-to-human or human-machine conversations. Howev…