Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Learning-Aided Heuristics Design for Storage System   Computer systems such as storage systems normally require transparent
white-box algorithms that are interpretable for human experts. In this work, we
propose a learning-aided heuristic design method, which automatically generates
human-readable strategies from Deep Reinforcement Learning (DRL) agents. This
method benefits from the power of deep learning but avoids the shortcoming of
its black-box property. Besides the white-box advantage, experiments in our
storage productions resource allocation scenario also show that this solution
outperforms the systems default settings and the elaborately handcrafted
strategy by human experts.

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The categories of this paper are: acc-phys
30
The categories of this paper are: q-alg
25
The categories of this paper are: patt-sol
33
The categories of this paper are: plasm-ph
3
The categories of this paper are: physics
18
The categories of this paper are: econ
7
The categories of this paper are: hep-th
10
The categories of this paper are: q-bio
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The categories of this paper are: nlin
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The categories of this paper are: adap-org
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The categories of this paper are: bayes-an
31
The categories of this paper are: ao-sci
23
The categories of this paper are: solv-int
5
The categories of this paper are: gr-qc
12
The categories of this paper are: nucl-th
8
The categories of this paper are: hep-ex