Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Continuously Learning Neural Dialogue Management   We describe a two-step approach for dialogue management in task-oriented
spoken dialogue systems. A unified neural network framework is proposed to
enable the system to first learn by supervision from a set of dialogue data and
then continuously improve its behaviour via reinforcement learning, all using
gradient-based algorithms on one single model. The experiments demonstrate the
supervised model's effectiveness in the corpus-based evaluation, with user
simulation, and with paid human subjects. The use of reinforcement learning
further improves the model's performance in both interactive settings,
especially under higher-noise conditions.

25
The categories of this paper are: patt-sol
15
The categories of this paper are: nucl-ex
34
The categories of this paper are: chem-ph
9
The categories of this paper are: nlin
3
The categories of this paper are: physics
23
The categories of this paper are: solv-int
35
The categories of this paper are: mtrl-th
8
The categories of this paper are: hep-ex
29
The categories of this paper are: funct-an
26
The categories of this paper are: bayes-an
10
The categories of this paper are: q-bio
30
The categories of this paper are: q-alg
31
The categories of this paper are: ao-sci
6
The categories of this paper are: astro-ph
7
The categories of this paper are: hep-th
4
The categories of this paper are: cond-mat