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02/22/2023
Few-Shot Structured Policy Learning for Multi-Domain and Multi-Task Dialogues
Reinforcement learning has been widely adopted to model dialogue manager...
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10/11/2022
Graph Neural Network Policies and Imitation Learning for Multi-Domain Task-Oriented Dialogues
Task-oriented dialogue systems are designed to achieve specific goals wh...
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12/01/2020
Denoising Pre-Training and Data Augmentation Strategies for Enhanced RDF Verbalization with Transformers
The task of verbalization of RDF triples has known a growth in popularit...
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11/25/2020
Diluted Near-Optimal Expert Demonstrations for Guiding Dialogue Stochastic Policy Optimisation
A learning dialogue agent can infer its behaviour from interactions with...
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03/03/2019
Scaling up budgeted reinforcement learning
Can we learn a control policy able to adapt its behaviour in real time s...
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08/16/2017
Corrupt Bandits for Preserving Local Privacy
We study a variant of the stochastic multi-armed bandit (MAB) problem in...
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01/18/2016
