Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Towards Learning Transferable Conversational Skills using
  Multi-dimensional Dialogue Modelling   Recent statistical approaches have improved the robustness and scalability of
spoken dialogue systems. However, despite recent progress in domain adaptation,
their reliance on in-domain data still limits their cross-domain scalability.
In this paper, we argue that this problem can be addressed by extending current
models to reflect and exploit the multi-dimensional nature of human dialogue.
We present our multi-dimensional, statistical dialogue management framework, in
which transferable conversational skills can be learnt by separating out
domain-independent dimensions of communication and using multi-agent
reinforcement learning. Our initial experiments with a simulated user show that
we can speed up the learning process by transferring learnt policies.

36
The categories of this paper are: cmp-lg
0
The categories of this paper are: hep-ph
9
The categories of this paper are: nlin
13
The categories of this paper are: quant-ph
4
The categories of this paper are: cond-mat
25
The categories of this paper are: patt-sol
14
The categories of this paper are: math-ph
15
The categories of this paper are: nucl-ex
18
The categories of this paper are: econ
27
The categories of this paper are: comp-gas
19
The categories of this paper are: eess
34
The categories of this paper are: chem-ph
28
The categories of this paper are: alg-geom
31
The categories of this paper are: ao-sci
2
The categories of this paper are: math
3
The categories of this paper are: physics