2 papers
cs.LG2022
Modular Adaptive Policy Selection for Multi-Task Imitation Learning through Task Division
Dafni Antotsiou, Carlo Ciliberto, Tae-Kyun Kim
Deep imitation learning requires many expert demonstrations, which can be hard to obtain, especially when many tasks are involved. However, different tasks often share similarities…
cs.CL2020
Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue System
Jianhong Wang, Yuan Zhang, Tae-Kyun Kim +1
Designing task-oriented dialogue systems is a challenging research topic, since it needs not only to generate utterances fulfilling user requests but also to guarantee the comprehe…