Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Pre-training in Deep Reinforcement Learning for Automatic Speech
  Recognition   Deep reinforcement learning (deep RL) is a combination of deep learning with
reinforcement learning principles to create efficient methods that can learn by
interacting with its environment. This led to breakthroughs in many complex
tasks that were previously difficult to solve. However, deep RL requires a
large amount of training time that makes it difficult to use in various
real-life applications like human-computer interaction (HCI). Therefore, in
this paper, we study pre-training in deep RL to reduce the training time and
improve the performance in speech recognition, a popular application of HCI. We
achieve significantly improved performance in less time on a publicly available
speech command recognition dataset.

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The categories of this paper are: atom-ph
24
The categories of this paper are: dg-ga
11
The categories of this paper are: hep-lat
31
The categories of this paper are: ao-sci
2
The categories of this paper are: math
34
The categories of this paper are: chem-ph
14
The categories of this paper are: math-ph
10
The categories of this paper are: q-bio
5
The categories of this paper are: gr-qc
3
The categories of this paper are: physics
8
The categories of this paper are: hep-ex
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The categories of this paper are: q-fin
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The categories of this paper are: chao-dyn
28
The categories of this paper are: alg-geom
36
The categories of this paper are: cmp-lg
23
The categories of this paper are: solv-int