Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Placement Delivery Array Design via Attention-Based Deep Neural Network   A decentralized coded caching scheme has been proposed by Maddah-Ali and
Niesen, and has been shown to alleviate the load of networks. Recently,
placement delivery array (PDA) was proposed to characterize the coded caching
scheme. In this paper, a neural architecture is first proposed to learn the
construction of PDAs. Our model solves the problem of variable size PDAs using
mechanism of neural attention and reinforcement learning. It differs from the
previous attempts in that, instead of using combined optimization algorithms to
get PDAs, it uses sequence-to-sequence model to learn construct PDAs. Numerical
results are given to demonstrate that the proposed method can effectively
implement coded caching. We also show that the complexity of our method to
construct PDAs is low.

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The categories of this paper are: atom-ph
30
The categories of this paper are: q-alg
3
The categories of this paper are: physics
12
The categories of this paper are: nucl-th
0
The categories of this paper are: hep-ph
25
The categories of this paper are: patt-sol
11
The categories of this paper are: hep-lat
5
The categories of this paper are: gr-qc
29
The categories of this paper are: funct-an
34
The categories of this paper are: chem-ph
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The categories of this paper are: ao-sci
10
The categories of this paper are: q-bio
4
The categories of this paper are: cond-mat
35
The categories of this paper are: mtrl-th
28
The categories of this paper are: alg-geom
8
The categories of this paper are: hep-ex